Joint Optimization of Transmit Waveform and Receive Filter with Pulse-to-Pulse Waveform Variations for MIMO GMTI
College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China
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Sensors 2019, 19(24), 5575; https://doi.org/10.3390/s19245575
Received: 15 November 2019 / Revised: 9 December 2019 / Accepted: 11 December 2019 / Published: 17 December 2019
(This article belongs to the Special Issue Radar and Radiometric Sensors and Sensing)
Multi-input multi-output (MIMO) is usually defined as a radar system in which the transmit time and receive time, space and transform domain can be separated into multiple independent signals. Given the bandwidth and power constraints of the radar system, MIMO radar can improve its performance by optimize design transmit waveforms and receive filters, so as to achieve better performance in suppressing clutter and noise. In this paper, we cyclicly optimize the transmit waveform and receive filters, so as to maximize the output signal interference and noise ratio (SINR). From fixed pulse-to-pulse waveform to pulse-to-pulse waveform variations, we discuss the joint optimization under energy constraint, then extend it to optimizations under constant-envelope constraint and similarity constraint. Compared to optimization with fixed pulse-to-pulse waveform, the generalized optimization achieves higher output SINR and lower minimum detectable velocity (MDV), further improve the suppressing performance.
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MDPI and ACS Style
Lv, Z.; He, F.; Sun, Z.; Dong, Z. Joint Optimization of Transmit Waveform and Receive Filter with Pulse-to-Pulse Waveform Variations for MIMO GMTI. Sensors 2019, 19, 5575.
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