Detection and Estimation of Signals in Uncertain Environments.
SOUTHERN METHODIST UNIV DALLAS TEX DEPT OF ELECTRICAL ENGINEERING
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In many communication problems, it becomes necessary to simultaneously detect and extract the signal so that these two operations must be jointly optimized in order to improve receiver performance. The receiver structures so obtained are considerably more complicated than conventional receivers and it is not clear that this added complexity results in a significant improvement in receiver performance. This report investigates a specific suboptimal scheme for estimating a signal in the presence of uncertainty regarding its reception. The scheme uses a probabilistic judgement to determine the presence of the signal in the observations. In order to obtain explicit estimation algorithms and to facilitate performance evaluation, a specific problem of signal estimation under uncertainty, namely the tracking of a target in a multi-target multi-sensor environment is considered. Explicit estimation algorithms are developed and the performance of the receiver is evaluated under conditions involving fading media or quantized observations. Author
- Non-Radio Communications