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   Multipath Rayleigh Fading Channel for Linear Antenna Array (MRFCHLAA)        

Multipath Rayleigh Fading Channel for Linear Antenna Array (MRFCHLAA)

 

 


Property

Description

Units

Default

Range/Type

L

Number of paths

None

3

[1, 12]/Integer

J

Number of antennas

None

2

[1, 16]/Integer

VM

Mobile velocity in km/h

None

12

[0, Inf)/Real

C

Antenna array spacing

Meter

0.15

(0, Inf)/Real

SEED

Random seed

None

0

(0, Inf)/Real

D1

Delay of first path (samples)

None

0

[0, Inf)/Integer

P1

Relative power of first path in dB

dB

-1e+020

(-Inf, 0]/Real

A1

DOA of first path

Deg

0

[-180, 180)/Real

D2~D12

Delay of nth path (samples)

None

0

[0, Inf)/Integer

P2~P12

Relative power of all other paths in dB

dB

-1e+020

(-Inf, 0]/Real

A2~A12

DOA of all other paths

Deg

0

[-180, 180)/Real

RIN

Input impedance

Ohm

Inf

(0, Inf]/Real

ROUT

Output impedance

Ohm

0

[0, Inf)/Real

Ports

Input

Input signal in complex envelope format (complex)

Output

Multipath Rayleigh fading signal, in complex envelope format, for all antennas (complex)


 

Notes

1. This model can be used to simulate a Multipath Rayleigh Fading Channel and then generate the signal at each antenna when Linear Antenna Array is used in the receiver.

2. The Doppler power spectrum for Multipath Rayleigh Fading Channel is given by [1][2]:





(1)
where b is the average received power, fm = wm/2p is the maximum Doppler shift given by Vm/λ where Vm is mobile velocity and l is the wavelength of the transmitted signal at frequency fc.

3. Representing the RF channel as a time-variant channel and using a base-band complex enve­lope representation, the channel impulse response can be expressed as


(2)
where L is the number of paths, the amplitude ai(t) for the ith path is Rayleigh distributed ran­dom variable, the phase shift f(t) is uniformly distributed, ti =>0 is the channel delay.

Since the Rayleigh fading process ai(t)ejfi(t) is complex, the in-phase process and quadrature process for each path are implemented separately, as shown in Fig.1.
Fig. 1 Block diagram of Rayleigh fading simulator

Based on Eqn.(2), both the in-phase process and the quadrature process can be generated by passing a White Gaussian noise process through a baseband filter which has the following fre­quency response:





(3)
where K is constant to normalize the frequency response. The above frequency response is generated in the frequency domain using FFT with length = 2048 points. Each point (0 <= K <= length -1) corresponds to a certain frequency (fk) by means of the following equation:
fk = k x fs (4)
where fs is the frequency sampling interval typically chosen to be on the order of fm/10.
The above frequency response has an even real part and an odd imaginary part to guarantee that the filtering process will generate a real in-phase and quadrature correlated Gaussian pro­cesses. Each two generated Gaussian processes are combined to generate a Rayleigh fading process. It is important to point out that whether in-phase process or quadrature process is cor­related among different points but the two processes are generated independently and there­fore, uncorrelated.

Assume that channel delay for each path can be expressed by Di samples. Each generated Ray­leigh fading process corresponds to a path with a user-specified delay Di and relative power Pi, 0 <= i <= L-1. The expected output along the ith fading path should be the input signal delayed by Di samples and Rayleigh-faded with the specified ith relative power Pi. The total average power contribution from all paths is always normalized to unity. This is accomplished by set­ting the standard deviation of the ith generated in-phase and quadrature correlated Gaussian processes to




(5)
These time series of the generated fading process is further increased in the time domain to match the sampling rate of the input signal. This is accomplished by linearly interpolating the fading process (i.e., inserting fading points between each two originally generated fading points).

 

4. The above does not consider linear antenna array. A uniformly spaced linear antenna array with J elements[3][4] is considered, as shown in Fig.2.
Fig. 2 Block diagram of Linear Antenna Array

Assuming a signal with wavelength λ arrives at the linear antenna array from a direction, which is called direction of arrival (DOA) qi, and taking the first element in the array as phase reference, the relative phase shift of the received signal at the nth element can be expressed as


(6)
where C is the array spacing. The vector channel impulse response for the J elements can be expressed as


(7)
where b(qi) is the array response vector, which is given by

(8)
where [ ]T denotes the matrix transpose.

5. Note that J samples are outputted successively for each input sample.

Netlist Form

MRFCHLAA:NAME n1 n2 L=val J=val VM=val C=val [SEED=val] D1=val P1=val A1=val + [D2=val . . . A12=val] [RIN=val] [ROUT=val]

Netlist Example

MRFCHLAA:1 1 2 L=2 J =2 VM = 12.0 C = 0.17 SEED = 7359749 D1 = 0 P1 = 0 A1 = 0DEG +D2 = 150 P2 = 0 A2 = 10DEG

References

1. W. C. Jakes, Microwave Mobile Communications, New York: Wiley, 1974.

2. T. S. Rappaport, Wireless Communications: Principles and Practice, Prentice-Hall, 1996.

3. S. C. Swales, M. A. Beach, et al, “The performance enhancement of multibeam adaptive base-station antennas for cellular land mobile radio systems,” IEEE Trans. Veh. Technol., vol. 39, pp. 56–67, Feb. 1990.

4. S. Tanaka, A. Harada, et al, “Experiments on coherent adaptive antenna array diversity for wideband DS-CDMA mobile radio,” IEEE Journal on Selected Areas in Communica­tions, vol. 18, No.8, pp.1495-1504, Aug. 2000.




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