Abstract
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.
Highlights
Multi-input multi-output (MIMO) radar is a type of radar that uses multiple transmit antennas and multiple receive antennas
The situation that extended targets exist and prior information is known is discussed in Reference [29], which uses cyclic iteration to jointly design transmit waveform and receive filters to achieve an optimized MIMO radar output signal interference and noise ratio (SINR)
The MIMO ground moving target indication (GMTI) based on non-orthogonal waveform improves the detection performance in specific tasks, especially the detection of low-velocity moving targets
Summary
Multi-input multi-output (MIMO) radar is a type of radar that uses multiple transmit antennas and multiple receive antennas. It is possible to optimize the transmit waveforms and receive filters together, so that to achieve better detection performance [26,27]. The situation that extended targets exist and prior information is known is discussed in Reference [29], which uses cyclic iteration to jointly design transmit waveform and receive filters to achieve an optimized MIMO radar output SINR. The joint design of transmit waveform and receive filters for MIMO radar STAP with fixed transmit waveform is discussed in Reference [2]. We use maximum output SINR criterion, generalize the transceiver optimization to MIMO radar system with pulse-to-pulse waveform variations. The output SINR is decided by transmit waveform and Space Time Adaptive Processing (STAP) optimized weight, we use cyclic iteration to jointly design transmit waveform and receive filters, so as to improve the MIMO.
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