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@ IJTSRD | Available Online @ www ISSN No: 245 Inte R Simulation of Direct Communic Y.V.S Durga Prasad Associate Professor, ECE Dept, ACE College, Hyderabad, Telangana, ABSTRACT In this work, a simulation model for Di Spread Spectrum (DSSS) scheme communication systems has been prop the case of a single frequency carrier, signal in DSSS occupies a much wider order to reduce the possible interference band communication signals. In telecom DSSS is a spread spectrum modulation t to reduce overall signal interference. Th this signal makes the resulting wide more noisy, allowing for greater unintentional and intentional interferenc Keywords: Code division multiple a Sequence Spread Spectrum, interference I. INTRODUCTION Spread spectrum communication syste used today in a variety of applications purposes such as access of same radio multiple users (multiple access), capability, interference rejectio communications, multi-path protection, irrespective of the application, all spr communication systems satisfy the follo As the name suggests, bandw transmitted signal is much greater th message that modulates a carrier. w.ijtsrd.com | Volume – 2 | Issue – 4 | May-Jun 56 - 6470 | www.ijtsrd.com | Volum ernational Journal of Trend in Sc Research and Development (IJT International Open Access Journ Sequence Spread Spectrum fo cation Systems using Simulink Engineering , India K. Venkates Assistant Professor, ECE De College, Hyderabad, T irect Sequence for wireless oposed. Unlike the modulated r bandwidth in es with narrow mmunications, technique used he spreading of eband channel resistance to ce. access, Direct e ems are widely s for different o spectrum by anti -jamming on, secure etc. However, read spectrum owing criteria- width of the han that of the The transmission bandwid factor independent of the m Based on the kind of spread spectrum systems are broadly I. Direct sequence spre systems II. Frequency hopping sp systems III. Time hopping spread systems IV. (iv) Hybrid System In DSSS-CDMA a random sp c(t) of chosen length is used t modulating signal m(t). So pseudo-noise code is used spreading. Each bit of the spr ‘chip’. Duration of a chip compared to the duration of an Consider Binary Phase Shif modulating a carrier by this represents a binary informatio represents a binary spre ‘spreading’ or multiplication modulo-2 or ex-or addition modulating signal m(t) is ava Kbits per second and the generated at the rate of 1 Mbit signal d(t) is generated at the r second. So, the null-to-null m n 2018 Page: 851 me - 2 | Issue 4 cientific TSRD) nal or Wireless k swarlu ept, ACE Engineering Telangana, India dth is determined by a message bandwidth. ding modulation, spread classified as- ad spectrum (DS-SS) pread spectrum (FH-SS) spectrum (TH-SS) preading code sequence to ‘spread’(multiply) the ometimes a high rate d for the purpose of reading code is called a (Tc) is much smaller n information bit (T).. ft Keying (BPSK) for s spread signal. If m(t) on bit sequence and c(t) eading sequence, the n operation reduces to n. For example, if the ailable at the rate of 10 spreading code c(t) is ts per second, the spread rate of 1 Mega Chips per main lobe bandwidth of

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In this work, a simulation model for Direct Sequence Spread Spectrum DSSS scheme for wireless communication systems has been proposed. Unlike the case of a single frequency carrier, the modulated signal in DSSS occupies a much wider bandwidth in order to reduce the possible interferences with narrow band communication signals. In telecommunications, DSSS is a spread spectrum modulation technique used to reduce overall signal interference. The spreading of this signal makes the resulting wideband channel more noisy, allowing for greater resistance to unintentional and intentional interference. Y.V.S Durga Prasad | K. Venkateswarlu "Simulation of Direct Sequence Spread Spectrum for Wireless Communication Systems using Simulink" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: https://www.ijtsrd.com/papers/ijtsrd14118.pdf Paper URL: http://www.ijtsrd.com/engineering/electronics-and-communication-engineering/14118/simulation-of-direct-sequence-spread-spectrum-for-wireless-communication-systems-using-simulink/yvs-durga-prasad

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Page 1: Simulation of Direct Sequence Spread Spectrum for Wireless Communication Systems using Simulink

@ IJTSRD | Available Online @ www.ijtsrd.com

ISSN No: 2456

InternationalResearch

Simulation of Direct Sequence Spread Spectrum Communication Systems

Y.V.S Durga Prasad

Associate Professor, ECE Dept, ACE Engineering College, Hyderabad, Telangana,

ABSTRACT In this work, a simulation model for Direct Sequence Spread Spectrum (DSSS) scheme for wireless communication systems has been proposed. Unlike the case of a single frequency carrier, the modulated signal in DSSS occupies a much wider bandwidth in order to reduce the possible interferences with narrow band communication signals. In telecommunications, DSSS is a spread spectrum modulation technique used to reduce overall signal interference. The spreading of this signal makes the resulting wideband channel more noisy, allowing for greater resistance to unintentional and intentional interference.

Keywords: Code division multiple access, Direct Sequence Spread Spectrum, interference

I. INTRODUCTION

Spread spectrum communication systems are widely used today in a variety of applications for different purposes such as access of same radio spectrum by multiple users (multiple access), anticapability, interference rejection, secure communications, multi-path protection, etc. However, irrespective of the application, all spread spectrum communication systems satisfy the following criteria

As the name suggests, bandwidth of the transmitted signal is much greater than that of the message that modulates a carrier.

@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 4 | May-Jun 2018

ISSN No: 2456 - 6470 | www.ijtsrd.com | Volume

International Journal of Trend in Scientific Research and Development (IJTSRD)

International Open Access Journal

f Direct Sequence Spread Spectrum for Wireless Communication Systems using Simulink

ECE Dept, ACE Engineering , Telangana, India

K. Venkateswarlu

Assistant Professor, ECE Dept, ACE Engineering College, Hyderabad, Telangana, India

In this work, a simulation model for Direct Sequence Spread Spectrum (DSSS) scheme for wireless communication systems has been proposed. Unlike the case of a single frequency carrier, the modulated signal in DSSS occupies a much wider bandwidth in

reduce the possible interferences with narrow band communication signals. In telecommunications, DSSS is a spread spectrum modulation technique used to reduce overall signal interference. The spreading of this signal makes the resulting wideband channel more noisy, allowing for greater resistance to unintentional and intentional interference.

Code division multiple access, Direct Sequence Spread Spectrum, interference

communication systems are widely used today in a variety of applications for different purposes such as access of same radio spectrum by multiple users (multiple access), anti-jamming capability, interference rejection, secure

rotection, etc. However, irrespective of the application, all spread spectrum communication systems satisfy the following criteria-

As the name suggests, bandwidth of the transmitted signal is much greater than that of the

The transmission bandwidth is determined by a factor independent of the message bandwidth.

Based on the kind of spreading modulation, spread spectrum systems are broadly classified as

I. Direct sequence spread spectrum (DSsystems

II. Frequency hopping spread spectrum (FHsystems

III. Time hopping spread spectrum (THsystems

IV. (iv) Hybrid System

In DSSS-CDMA a random spreading code sequence c(t) of chosen length is used to ‘spread’(multiply) the modulating signal m(t). Sometimes a high rate pseudo-noise code is used for the purpose of spreading. Each bit of the spreading code is called a ‘chip’. Duration of a chip (Tc) is much smaller compared to the duration of an information bit (T)..

Consider Binary Phase Shift Keying (BPSK) for modulating a carrier by this spread signal. If m(t) represents a binary information bit sequence and c(t) represents a binary spreading sequence, the ‘spreading’ or multiplication operation reduces to modulo-2 or ex-or addition. For example, if the modulating signal m(t) is available at the rate of 10 Kbits per second and the spreading code c(t) is generated at the rate of 1 Mbits per second, the spread signal d(t) is generated at the rate of 1 Mega Chips per second. So, the null-to-null main lobe bandwidth of

Jun 2018 Page: 851

www.ijtsrd.com | Volume - 2 | Issue – 4

Scientific (IJTSRD)

International Open Access Journal

or Wireless sing Simulink

Venkateswarlu

ECE Dept, ACE Engineering Telangana, India

The transmission bandwidth is determined by a factor independent of the message bandwidth.

Based on the kind of spreading modulation, spread spectrum systems are broadly classified as-

Direct sequence spread spectrum (DS-SS)

spread spectrum (FH-SS)

Time hopping spread spectrum (TH-SS)

CDMA a random spreading code sequence c(t) of chosen length is used to ‘spread’(multiply) the modulating signal m(t). Sometimes a high rate

noise code is used for the purpose of spreading. Each bit of the spreading code is called a ‘chip’. Duration of a chip (Tc) is much smaller compared to the duration of an information bit (T)..

Consider Binary Phase Shift Keying (BPSK) for ng a carrier by this spread signal. If m(t)

represents a binary information bit sequence and c(t) represents a binary spreading sequence, the ‘spreading’ or multiplication operation reduces to

or addition. For example, if the al m(t) is available at the rate of 10

Kbits per second and the spreading code c(t) is generated at the rate of 1 Mbits per second, the spread signal d(t) is generated at the rate of 1 Mega Chips per

null main lobe bandwidth of

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International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470

@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 4 | May-Jun 2018 Page: 852

the spread signal is now 2 MHz. We say that bandwidth has been ‘spread’ by this operation by a factor of hundred. This factor is known as the spreading gain or process gain (PG).

Fig below shows the baseband processing operations necessary after carrier demodulation. Note that, at the receiver, the operation of despreading requires the generation of the same spreading code incorrect phase with the incoming code. The pseudo noise (PN) code synchronizing module detects the phase of the incoming code sequence, mixed with the information sequence and aligns the locally generated code sequence appropriately. After this important operation of code alignment (i.e. synchronization) the received signal is ‘despread’ with the locally constructed spreading code sequence. The despreading operation results in a narrowband signal, modulated by the information bits only.

Receiver

DIRECT SEQUENCE SPREAD SPECTRUM features

Each bit is represented by multiple bits using spreading code

• Spreading code spreads signal across wider frequency band —In proportion to number of bits used —e.g., 10 bit spreading code spreads signal across 10 times bandwidth of 1 bit code

• One method: —Combine input with spreading code using XOR

• Input bit 1 inverts spreading code bit

• Input zero bit doesn’t alter spreading code bit —Data rate equal to original spreading code

• Performance similar to FHSS

FIG: DSSS EXAMPLE

Principle of DSSS

Consider the frequency translation of a baseband message (of bandwidth B Hz) to a higher part of the spectrum, using DSBSC modulation. The resulting signal occupies a bandwidth of 2B Hz, and would typically override the noise occupying the same part of the spectrum. This makes it easy to find with a spectrum analyzer (for example), and so the probability of intercept is high. A local carrier, synchronized with that at the transmitter, is required at the receiver for synchronous demodulation. The recovered signal-to-noise ratio is 3 dB better than that measured at its original location in the spectrum. This 3 dB improvement comes from the fact that the contributions from each sideband add coherently, whereas the noise does not. This can be called a 3 dB ‘processing gain’, and is related to the fact that the transmission bandwidth and message bandwidth are in the ratio of 2:1

In a spread spectrum system literally thousands of different carriers are used, to generate thousands of DSBSC signals each derived from the same message.

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International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456

@ IJTSRD | Available Online @ www.ijtsrd.com

These carriers are spread over a wide bandwidth (much wider than 2B Hz), and so the resulting DSBSC signals will be spread over the same bandwidth. If the total transmitted power is similar to that of the single DSBSC case, then the power of an individual DSBSC in the spread spectthousands of times less.

Processing gain:

To achieve most of the claims made for the spread spectrum it is necessary that the bandwidth over which the message is spread be very much greater than the bandwidth of the message itself. Each DSBSC of the DSSS signal is at a level below the noise, but each is processed by the synchronous demodulator to give a 3 dB SNR improvement. The total improvement is proportional to the number of individual DSBSC components. In fact the processing gain of the system is equal to the ratio of DSSS bandwidth.

Spreading and despreading

The rapid phase transition Tc (chip rate)larger bandwidth given that the rate is greater R (without changing the power of the original signal) and behaves similar to noise in such a way that their spectrums are similar for bandwidth in scope. In fact, the power density amplitude of the spread spectrum output signal is similar to the noise floor. The signal is “hidden” under the noise.

To get the signal back, the exact same high bandwidth signal is needed. This is like a key, only the demodulator that “knows” such a key will be able to demodulate and get the message back. This “key” is in fact a pseudo random sequence (rapid phase

nal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456

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over a wide bandwidth (much wider than 2B Hz), and so the resulting DSBSC signals will be spread over the same bandwidth. If the total transmitted power is similar to that of the single DSBSC case, then the power of an individual DSBSC in the spread spectrum case is

To achieve most of the claims made for the spread spectrum it is necessary that the bandwidth over which the message is spread be very much greater than the bandwidth of the message itself. Each

f the DSSS signal is at a level below the noise, but each is processed by the synchronous demodulator to give a 3 dB SNR improvement. The total improvement is proportional to the number of individual DSBSC components. In fact the processing

tem is equal to the ratio of DSSS

(chip rate) signal has a larger bandwidth given that the rate is greater Rc (without changing the power of the original signal)

noise in such a way that their spectrums are similar for bandwidth in scope. In fact, the power density amplitude of the spread spectrum output signal is similar to the noise floor. The signal is

To get the signal back, the exact same high bandwidth signal is needed. This is like a key, only the demodulator that “knows” such a key will be able to demodulate and get the message back. This “key” is

ct a pseudo random sequence (rapid phase

transition) also known as pseudo noise (PN). These sequences are generated by m-

Figure: Shift register structure for m

Where ‘ ’ represent modulo 2 addition.Using this scheme, the initial

generate exactly the same sequence of length

BANDWIDTH EFFECTS OFSPREADING OPERATION Illustrates the evaluation of signal bandwidths in a communicationlink.

Figure 2. Spreading operation spreads the signal energy over a wider frequency bandwidth. Spread-spectrum modulation is applied on top of a conventional modulation such as BPSK or direct conversion. One can demonstrate that all other signals not receiving the spread-spectrum code will remain as they are, that is, uns Bandwidth Effects of the Despreading Operation

Similarly, despreading can be seen in

nal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470

Jun 2018 Page: 853

transition) also known as pseudo noise (PN). These -sequences.

Figure: Shift register structure for m-sequence

’ represent modulo 2 addition. Using this scheme, the initial state is only needed to

generate exactly the same sequence of length

BANDWIDTH EFFECTS OF THE

Illustrates the evaluation of signal bandwidths in a

Figure 2. Spreading operation spreads the signal

wider frequency bandwidth.

spectrum modulation is applied on top of a conventional modulation such as BPSK or direct conversion. One can demonstrate that all other signals

spectrum code will remain as they are, that is, unspread.

Bandwidth Effects of the Despreading Operation

Similarly, despreading can be seen in Figure 3.

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International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470

@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 4 | May-Jun 2018 Page: 854

Figure 3. The despreading operation recovers the original signal. Here a spread-spectrum demodulation has been made on top of the normal demodulation operations. One can also demonstrate that signals such as an interferer or jammer added during the transmission will be spread during the despreading operation!

Gold Sequences

Gold sequences help generate more sequences out of a pair of m-sequences giving now many more different sequences to have multiple users. Gold sequences are based on preferred pairs m-sequences.

Figure : Example of gold sequence generator

ALGORITHM FOR SIMULATION OF DSSS USING MATLAB

Step1: Determining of input data to be transmitted and concatenating input sequence.

Step2:Generating of Pseudorandom Noise sequence data

. Step5:Implementation of Direct sequence spread Spectrum to modulated BPSK using different carriers

Step6: At receiver implementing reverse operation which include Despreading followed by Demodulation

Step3:Implementing of XOR Operation of concatenated signal with PN data to generate hop signal

Step4: Implementation of BPSK Modulation to Hop signal generated

Page 5: Simulation of Direct Sequence Spread Spectrum for Wireless Communication Systems using Simulink

International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456

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CIRCUIT DIAGRAM OF DIRECT SEQUENCE SPREAD SPECTRUM USING SIMULINK:

OUTPUT OF DIRECT SEQUENCE SPREAD SPECTRUM USING SIMULINK:

nal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456

@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 2 | Issue – 4 | May-Jun 2018

CIRCUIT DIAGRAM OF DIRECT SEQUENCE SPREAD SPECTRUM USING SIMULINK:

OUTPUT OF DIRECT SEQUENCE SPREAD

CONCLUSION

Direct Sequence Spread spectrum is a technique expands to many different paths, modulation schemes, performance under fading, under interference, increases capacity in CDMA systems.

It provides privacy & Secure Communication, protection against jamming, better voice quality & Low susceptibility and can operate longer distances.

References

1) “Review on Design & Implementation of DSSSCDMA Transmitter using HDL with Raised cosine filter to minimize ISI” IJCSMC Vol 3,Issue3,March 2014

2) G. L. Stüber, “Principles of mobile communication,” Kluwer Academic, Boston 1996.

3) J. G. Proakis, “Digital Communications,” 4th Edition, McGraw-Hill Higher Education.

4) T. S. Rappaport, “Wireless communications: principles and practice,” Pentrice Hall PTR, N.J., 1996.

5) T. Pratt, C. W. Bostian and J.E. Allnutt, “Satellite Communications,” 2nd ed.publication, 2002.

6) R: Prasad, T. Ojanperä, “An Overview of CDMA Evolution Toward wideband CDMA,” IEEE communications surveys, Vol. 1, No. 1 Q4 1998

nal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470

Jun 2018 Page: 855

Direct Sequence Spread spectrum is a technique that expands to many different paths, modulation schemes, performance under fading, under interference, increases capacity in CDMA systems.

It provides privacy & Secure Communication, g, better voice quality &

Low susceptibility and can operate longer distances.

“Review on Design & Implementation of DSSS-CDMA Transmitter using HDL with Raised cosine filter to minimize ISI” IJCSMC Vol

, “Principles of mobile Kluwer Academic, Boston 1996.

J. G. Proakis, “Digital Communications,” 4th Hill Higher Education.

T. S. Rappaport, “Wireless communications: principles and practice,” Pentrice Hall PTR, N.J.,

Pratt, C. W. Bostian and J.E. Allnutt, “Satellite Communications,” 2nd ed. John Wiley

R: Prasad, T. Ojanperä, “An Overview of CDMA Evolution Toward wideband CDMA,” IEEE communications surveys, Vol. 1, No. 1 Q4 1998