Abstract
This paper addresses the problem of waveform design for multiple-input-multiple-output (MIMO) radar detection in the presence of range-spread clutter. Owing to the intractability of waveform design based on maximizing the detection probability, the design metric employs the relative entropy between the probability density functions of the observations under the two hypotheses (viz., the target is present/absent). We consider several practical constraints on the waveforms, including energy constraint, peak-to-average-power ratio constraint, similarity constraint, and both constant-modulus and similarity constraints. We propose a minorization-maximization approach to tackle the non-convex waveform design problem. We show that the proposed algorithm has guaranteed and fast convergence of objective values. Finally, numerical examples are provided to demonstrate the effectiveness of the proposed algorithm.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
