Adaptive Waveform Design for Multiple Radar Tasks Based on Constant Modulus Constraint

Abstract

Cognitive radar is an intelligent system, and it can adaptively transmit waveforms to the complex environment. The intelligent radar system should be able to provide different trade-offs among a variety of performance objectives. In this paper, we investigate the mutual information (MI) in signal-dependent interference and channel noise. We propose a waveform design method which can efficiently synthesize waveforms and provide a trade-off between estimation performance and detection performance. After obtaining a local optimal waveform, we apply the technique of generating a constant modulus signal with the given Fourier transform magnitude to the waveform. Finally we obtain a waveform that has constant modulus property.

Closed-Form Asymptotic Approximation of Target’s Range Information in Radar Detection Systems

“…Similarly, Setlur et al [31] used the maximum amplitude MI measure to enable the radar system to make an adaptive selection from a predetermined set of waveforms. Wang et al [32] established the MI expression of the amplitude of the cognitive radar for the constant scattering coefficient model, and used it for the adaptive design of the waveform. Sen et al [33], [34] studied the design of OFDM radar waveforms based on MI criteria.…”