Joint Space-(Slow) Time Transmission With Unimodular Waveforms and Receive Adaptive Filter Design for Radar

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Date
2018
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Language
en
Pages
3276-3280
Series
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing
Abstract
A novel computationally efficient method for jointly designing the space-(slow) time (SST) transmission with unimodular waveforms and receive adaptive filter is developed for different radar configurations. The range sidelobe effect and Doppler characteristics are considered. In particular, we develop a novel approach for jointly synthesizing unimodular SST waveforms and minimum variance distortionless response receive adaptive filter for two cases of known Doppler information and presence of uncertainties on clutter bins. Corresponding non-convex optimization problems are formulated and efficient algorithms are derived. The main ideas of the algorithm developments are to decouple composite objective function of the formulated problems, generate minorizing surrogates, and then solve the joint design problem iteratively, but in closed form for each iteration by means of minorization-maximization technique. The proposed algorithms demonstrate good performance and have fast convergence speed and low complexity.
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Keywords
Adaptive filter, joint waveform design, radar, minorization-maximization, space-(slow) time
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Citation
Li , Y & Vorobyov , S 2018 , Joint Space-(Slow) Time Transmission With Unimodular Waveforms and Receive Adaptive Filter Design for Radar . in 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing , IEEE , pp. 3276-3280 , IEEE International Conference on Acoustics, Speech, and Signal Processing , Calgary , Alberta , Canada , 15/04/2018 . https://doi.org/10.1109/ICASSP.2018.8461697