A binary communication system transmits signals s,(t) (i 1,2). The receiver samples the received signal r(t)...

  

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A binary communication system transmits signals s,(t) (i 1,2). The receiver samples the received signal r(t) = s (t) + n(t) at T and obtain the decision statistic r=r(T) = s,(T)+n(T) = a, +n, where the signal component is either a, = +A or a, =-A with A> 0 and n is the noise component. Assume that s, (1) and s, (1) are equally likely to be transmitted and the decision threshold is chosen as zero. If the noise component n is uniformly distributed over [-2, +2] and A = 0.8, derive the expression of BER of this system. A binary communication system transmits signals s,(t) (i 1,2). The receiver samples the received signal r(t) = s (t) + n(t) at T and obtain the decision statistic r=r(T) = s,(T)+n(T) = a, +n, where the signal component is either a, = +A or a, =-A with A> 0 and n is the noise component. Assume that s, (1) and s, (1) are equally likely to be transmitted and the decision threshold is chosen as zero. If the noise component n is uniformly distributed over [-2, +2] and A = 0.8, derive the expression of BER of this system.

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