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EE-451 Mobile Communication Systems (3+0) Lecture 2 Radio Wave Propagation: Fading and Multipath Lec Moiz Ahmed Pirkani EE-451 MILITARY COLLEGE OF SIGNALS- NUST

Mobile Communication Systems (3+0)- Lecture 3

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Page 1: Mobile Communication Systems (3+0)- Lecture 3

EE-451 Mobile Communication Systems (3+0)

Lecture 2

Radio Wave Propagation: Fading and Multipath

Lec Moiz Ahmed Pirkani

EE-451 MILITARY COLLEGE OF SIGNALS- NUST

Page 2: Mobile Communication Systems (3+0)- Lecture 3

Lecture Outline• Understand the theory of multipath fading channel • Know how to calculate the parameters for fading

channel • Learn different types of multipath fading channel • Some common fading channel models • References

• Goldsmith Ch 3 • Rappaport Ch 5 • Haykin Ch 2.6-2.7 • Molish Ch 5 & 6

EE-451 MILITARY COLLEGE OF SIGNALS- NUSTMobile Communication Systems (3+0)

Page 3: Mobile Communication Systems (3+0)- Lecture 3

Background• Large-scale propagation (Lecture 2)

• Predicts mean received signal strength at large Tx-Rx distance• Hundreds or thousands of meters

• Path loss, shadowing etc• Importance

• Proper site planning

• Small-scale propagation • Characterize the rapid fluctuations over short distance or time • Fading • Importance

• Proper receiver design to handle the rapid fluctuations

EE-451 MILITARY COLLEGE OF SIGNALS- NUSTMobile Communication Systems (3+0)

Page 4: Mobile Communication Systems (3+0)- Lecture 3

Multipath Propagation• Signal arrives at Rx through different paths

• Reflection, Diffraction, Scattering

• Paths could arrive with different gains, phase, & delays • Constructive or destructive interference

• Small distance variation can have large amplitude variation

EE-451 MILITARY COLLEGE OF SIGNALS- NUSTMobile Communication Systems (3+0)

Page 5: Mobile Communication Systems (3+0)- Lecture 3

Multipath Channel Impulse Response (I) • The multipath channel can be modelled as a filter

• A summation of all N multipath

• Each multipath contain its gain ai, phase θi and delay τi• Each path varies with time and distance

• If the mobile is moving, distance is also related to time d = vt • Two time-related variables

• t is the time variation due to motion • τ is the time variation due to multipath delay

• Excess delay - relative delay compared to the first arriving path

• τi(t) = i-th path excess delay at time t

EE-451 MILITARY COLLEGE OF SIGNALS- NUSTMobile Communication Systems (3+0)

Page 6: Mobile Communication Systems (3+0)- Lecture 3

Multipath Channel Impulse Response (II)

EE-451 MILITARY COLLEGE OF SIGNALS- NUSTMobile Communication Systems (3+0)

Page 7: Mobile Communication Systems (3+0)- Lecture 3

Multipath Channel Impulse Response (III)

• Discrete-time baseband impulse response • Channel impulse response is continuous time as with

filters• Digital communications is discrete time

• Divide multipath delay into discrete segments called excess delay bins

• i-th excess delay = • ∆τ= delay bin width • L = maximum resolvable delay path

• a(t,k∆τ) = amplitude of k-th bin at time t• θ(t,k∆τ) = phase shift of k-th bin at time t

EE-451 MILITARY COLLEGE OF SIGNALS- NUSTMobile Communication Systems (3+0)

Page 8: Mobile Communication Systems (3+0)- Lecture 3

Multipath Channel Impulse Response (IV)

EE-451 MILITARY COLLEGE OF SIGNALS- NUSTMobile Communication Systems (3+0)

Page 9: Mobile Communication Systems (3+0)- Lecture 3

Tap Delay Line Model • If the excess delay bin equals to the symbol period, the

channel can be modelled as a tap delay-line filter • Each tap delay is exactly 1 symbol period

• st = baseband signal, nt = noise, rt = received baseband signal

EE-451 MILITARY COLLEGE OF SIGNALS- NUSTMobile Communication Systems (3+0)

Page 10: Mobile Communication Systems (3+0)- Lecture 3

Problems with Multipath Channel• Several paths arrive within one delay bin (∆τ)

• These paths cannot be resolved (N≠L) • Different gains and phase will be combined

• Constructive and destructive interference can occur • Fading

• The received signal power changes rapidly from bin to bin • When a symbol is in deep fade (the channel for that symbol period

has small value), it cannot be detected correctly • Diversity technique required

• If some paths arrive after one symbol period • The transmitted symbol will interfere with the following

symbol(s) • Inter-symbol interference (ISI) occurs • Equalization techniques required

EE-451 MILITARY COLLEGE OF SIGNALS- NUSTMobile Communication Systems (3+0)

Page 11: Mobile Communication Systems (3+0)- Lecture 3

WSSUS Channel • Assume channel is wide-sense stationary (WSS)

• The autocorrelation function is dependent on the time difference

• i.e. Autocorrelation function is the same at any time

• Assume all paths are uncorrelated • Uncorrelated Scattering (US)

• Rh=0 unless τ1=τ2

EE-451 MILITARY COLLEGE OF SIGNALS- NUSTMobile Communication Systems (3+0)

Page 12: Mobile Communication Systems (3+0)- Lecture 3

Channel Autocorrelation Function • Let

• where is the autocorrelation function of the discretised channel bin

• Note that τ1=τ2, i.e. uncorrelated among different bins

EE-451 MILITARY COLLEGE OF SIGNALS- NUSTMobile Communication Systems (3+0)

Page 13: Mobile Communication Systems (3+0)- Lecture 3

Power Delay Profile• Characterise the power distribution against the excess

delays • Integral of |h(t, τ)|2 over time t

• For discrete-time model, due to WSS-US • Note: ∆t=0, i.e., t1 = t2

• Pk = power at k-th delay bin

• Common delay profiles • Uniform: Pk being constant over k • Exponential: Pk = cexp(-k∆τ/c)

EE-451 MILITARY COLLEGE OF SIGNALS- NUSTMobile Communication Systems (3+0)

Page 14: Mobile Communication Systems (3+0)- Lecture 3

Time Dispersion Parameters (I)• Determined from the power delay profile

• Treat the power delay profile as a probability mass function • Calculate the mean, second moment, and standard deviation for it

• Mean excess delay Second moment

• RMS delay spread

• Maximum excess delay (X dB) • τ0 = first arriving signal delay • τX = max excess delay within X dB of the strongest path

EE-451 MILITARY COLLEGE OF SIGNALS- NUSTMobile Communication Systems (3+0)

Page 15: Mobile Communication Systems (3+0)- Lecture 3

Time Dispersion Parameters (II)

EE-451 MILITARY COLLEGE OF SIGNALS- NUSTMobile Communication Systems (3+0)

Page 16: Mobile Communication Systems (3+0)- Lecture 3

Time Dispersion Parameters (III)

EE-451 MILITARY COLLEGE OF SIGNALS- NUSTMobile Communication Systems (3+0)

Page 17: Mobile Communication Systems (3+0)- Lecture 3

Tutorial Question 1 • Consider the provided power delay profile

• Calculate the mean excess delay, rms delay spread, and the max excess delay (10dB) for the power delay profile provided

EE-451 MILITARY COLLEGE OF SIGNALS- NUSTMobile Communication Systems (3+0)

Page 18: Mobile Communication Systems (3+0)- Lecture 3

Coherence Bandwidth• Coherence bandwidth Bc

• Frequencies separated by less than this bandwidth will have their fades highly correlated

• Flat frequency spectrum within Bc

• Signals will be affected differently with the frequency separation goes beyond Bc

• Frequency correlation higher than 0.9 and 0.5

• RMS delay spread ↑, Coherence bandwidth ↓• Frequency correlation ↑, Coherence bandwidth ↓

EE-451 MILITARY COLLEGE OF SIGNALS- NUSTMobile Communication Systems (3+0)

Page 19: Mobile Communication Systems (3+0)- Lecture 3

Doppler Spread and Coherence Time

• Parameters to describe the time varying nature of a channel • Doppler spread BD

• Measure of spectral broadening due to time variation

• fd-max = max Doppler shift = v/λ

• Coherence Time Tc

• Time duration that the fading parameters remain fairly constant • Coherence time for correlation above 0.5:

• Mobile speed , Doppler spread ↑, Coherence time ↓

EE-451 MILITARY COLLEGE OF SIGNALS- NUSTMobile Communication Systems (3+0)