Question
A receiver in a multiuser communication system accepts k binary signals from k independent transmitters: Y=(Y1; Y2; : : : ; Yk), where Yk is
A receiver in a multiuser communication system accepts k binary signals from k independent transmitters:
Y=(Y1; Y2; : : : ; Yk), where Yk is the received signal from the Kth transmitter. In an ideal
system the received vector is given by
Y = Ab +N;
where A = [k] is a diagonal matrix of positive channels gains 1; : : : ; k forming the diagonal, b =
(b1; b2; : : : ; bk) is the vector of bits from each of the transmitters where bi = 1, and N is a vector of
k independent zero-mean unit-variance Gaussian random variables. Assume the transmitted bits bk are
independent and equally likely +1 or -1.
Find the minimum mean square linear estimator for b given the observation Y. How can this
estimator be used in deciding what where the transmitted bits?
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