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Optimal Space-Time Multiuser Detection

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Optimal Space-Time Multiuser Detection

In Section 5.2, we considered (linear) spatial processing as a mechanism for separating multiple users sharing identical temporal signatures. In the remainder of this chapter we examine the situation in which both temporal and spatial signatures of the users differ and consider the joint exploitation of these differences to separate users. Such joint processing is known as space-time processing. In this and the following sections, we discuss such processing in the context of multiuser detection in a CDMA system with multipath channel distortion and multiple receive antennas. We begin in this section with consideration of optimal (nonlinear) processing, turning in subsequent sections to linear and adaptive linear methods. The materials in this and the next sections first appeared in [554].

5.3.1 Signal Model

Consider a DS-CDMA mobile radio network with K users, employing normalized spreading waveforms s1, s2, . . . sK, and transmitting sequences of BPSK symbols through their respective multipath channels. The transmitted baseband signal due to the kth user is given by

Equation 5.42

graphics/05equ042.gif


where M is the number of data symbols per user per frame, T is the symbol interval, bk[i] {+1, –1} is the ith symbol transmitted by the kth user, and Ak and sk(t) denote, respectively, the amplitude and normalized signaling waveform of the kth user. It is assumed that sk(t) is supported only on the interval [0,T] and has unit energy. (Here, for simplicity, we assume that periodic spreading sequences are employed in the system. The generalization to the aperiodic spreading case is straightforward.) It is also assumed that each user transmits independent equiprobable symbols and that the symbol sequences from different users are independent. Recall that in the direct-sequence spread-spectrum multiple-access format, the user signaling waveforms are of the form

Equation 5.43

graphics/05equ043.gif


where N is the processing gain, {cj,k: j = 0, . . ., N – 1} is a signature sequence of ±1's assigned to the kth user, and y is a normalized chip waveform of duration Tc = T/N.

At the receiver an antenna array of P elements is employed. Assuming that each transmitter is equipped with a single antenna, the baseband multipath channel between the kth user's transmitter and the base station receiver can be modeled as a single-input/multiple-output channel with the following vector impulse response:

Equation 5.44

graphics/05equ044.gif


where L is the number of paths in each user's channel, a,k and tl,k are, respectively, the complex gain and delay of the lth path of the kth user's signal, and al,k = [al,k,1 ··· al,k,P]T is the array response vector corresponding to the lth path of the kth user's signal. The total received signal at the receiver is then the superposition of the signals from the K users plus the additive ambient noise, given by

Equation 5.45

graphics/05equ045.gif


where * denotes convolution; n(t) = [n1 (t) ··· nP(t)]T is a vector of independent zero-mean complex white Gaussian noise processes, each with power spectral density s2.


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