Abstract
Adaptive linear cancellation of interference is a key technique for enhancing the performance of many current and planned radar and wireless communication systems. Present methods of cancellation have limited capability when the interference is strongly nonstationary. A maximum likelihood-based cancellation procedure is given for Gaussian interference with a partially known nonstationary covariance component. This procedure is designed for adaptive cancellation implemented by a systolic cascaded array and performs well in computer Monte Carlo experiments.
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