Discrete-time demodulation of continuous-time signals

Nonlinear stochastic estimation theory is applied to the problem of obtaining discrete-time demodulator structures for the common types of analog communication signals. A stochastic communication model is presented that can be treated with current results in estimation theory. Approximate algorithms are developed for the estimation problem that yield mathematically realizable receiver structures for the cases of AM, PM, and FM. The digital receivers yield performance characteristics that compare favorably with those of their analog counterparts.