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Multipath Signal Model

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Multipath Signal Model

We now consider a more general multiple-access signal model where the users are asynchronous, and the channel exhibits multipath distortion effects. In particular, the multipath channel impulse response of the kth user is modeled as in (1.10):

Equation 2.165

graphics/02equ165.gif


where L is the total number of paths in the channel, and al,k and tl,k are, respectively, the complex path gain and the delay of the kth user's lth path, t1,k < t2,k < ··· < tL,k. The continuous-time signal received in this case is given by

Equation 2.166

graphics/02equ166.gif


where * denotes convolution and sk(t) is the spreading waveform of the kth user given by (2.2).

At the receiver, the received signal r(t) is filtered by a chip-matched filter and sampled at a multiple (p) of the chip rate (i.e., the sampling time interval is D = Tc/p = T/P, where graphics/071fig01.gif is the total number of samples per symbol interval). Let

graphics/071equ02.gif


be the maximum delay spread in terms of symbol intervals. Substituting (2.2) into (2.166), the qth signal sample during the ith symbol interval is given by!

Equation 2.167

graphics/02equ167.gif


where graphics/072fig01.gif. Denote

graphics/072fig02.gif


Then (2.167) can be written in terms of vector convolution as

Equation 2.168

graphics/02equ168.gif


By stacking m successive sample vectors, we further define the following quantities:

graphics/073equ01.gif


where the smoothing factor m is chosen according to graphics/073fig02.gif. Note that for such m, the matrix H is a "tall" matrix [i.e., Pm K(m + I)]. We can then write (2.168) in matrix form as

Equation 2.169

graphics/02equ169.gif


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