Efficient Low-PAR Waveform Design Method for Extended Target Estimation Based on Information Theory in Cognitive Radar

• Published in: Entropy (Basel, Switzerland) Vol. 21; no. 3; p. 261
• Main Authors: Hao, Tianduo, Cui, Chen, Gong, Yang
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 07.03.2019; MDPI
• Subjects: Acceleration; Clutter; cognitive radar; Constraints; Convolution; Design techniques; Information theory; Linear programming; Mathematical analysis; Maximization; Methods; minorization –maximization (MM) method; mutual information (MI); Noise; Normal distribution; Optimization; Optimization techniques; Parameter estimation; peak-to-average power ratio; waveform design; Waveforms; minorization–maximization (MM) method; mutual information (MI); peak-to-average power ratio; waveform design; cognitive radar

This paper addresses the waveform design problem of cognitive radar for extended target estimation in the presence of signal-dependent clutter, subject to a peak-to-average power ratio (PAR) constraint. Owing to this kind of constraint and the convolution operation of the waveform in the time domain...