Space-Time Coding: Theory and Practice

4.3: Maximum-Likelihood Decoding and Maximum Ratio Combining

4.3 Maximum-Likelihood Decoding and Maximum Ratio Combining

Before discussing the design of codes for more than two transmit antennas, we study the structure of maximum-likelihood (ML) decoding. ML decoding amounts to finding the codeword ? that maximizes the density function in (3.4). Equivalently, ML decoding finds the codeword ? that solves the following minimization problem:

(4.11)

Expanding the cost function in (4.11) and considering the fact that r H r is independent of the transmitted codeword and the choice of the codeword, we obtain

(4.12)

Now, we show the relationship between the cost function for multiple receive antennas and that of one receive antenna. Let us define H m as the mth column of H. Representing H in terms of its columns results in

(4.13)

Similarly, defining r m as the mth column of r results in

(4.14)

Therefore, using (4.13) and (4.14) in (4.12), we can calculate the cost function of the minimization problem in terms of the received signals and path gains for M receive antennas as follows:

(4.15)

Note that if we only have the receive antenna m, M = 1, the corresponding minimization cost function is

(4.16)

Therefore, we can write the cost function for only one receive antenna and add the correct summation in front of it to achieve the ML decoding formulas for the general case of M receive antennas. We call this maximum ratio combining (MRC). As...

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