Adaptive Detection for Multichannel Signals in Non-Ideal Environments

<p>This book systematically presents adaptive multichannel signal detection in three types of non-ideal environments including sample-starved scenarios signal mismatch scenarios and noise plus subspace interference environments.</p><p>The authors provide definitions of key concepts detailed derivations of adaptive multichannel signal detectors and specific examples for each non-ideal environment. In addition the possible future trend of adaptive detection methods is discussed as well as two further research points – namely the adaptive detection algorithms based on information geometry and the hybrid approaches that combine adaptive detection algorithms with machine learning algorithms.</p><p>The book will be of interest to researchers advanced undergraduates and graduate students in sonar radar signal processing and communications engineering.</p>