Abstract
Compared with single-input multiple-output (SIMO) radar, colocated multiple-input multiple-output (MIMO) radar can detect moving targets better by adopting waveform diversity. When the colocated MIMO radar transmits a set of orthogonal waveforms, the transmit weights are usually set equal to one, and the receive weights are adaptively adjusted to suppress clutter based on space-time adaptive processing technology. This paper proposes the joint design of space-time transmit and receive weights for colocated MIMO radar. The approach is based on the premise that all possible moving targets are detected by setting a lower threshold. In each direction where there may be moving targets, the space-time transmit and receive weights can be iteratively updated by using the proposed approach to improve the output signal-to-interference-plus-noise ratio (SINR), which is helpful to improve the precision of target detection. Simulation results demonstrate that the proposed method improves the output SINR by greater than 13 dB.
Highlights
For colocated multiple-input multiple-output (MIMO) radar, the antennas are close to each other, and each antenna serves as a transceiver
To improve the performance of clutter mitigation, orthogonal waveforms are widely used in colocated MIMO radar [4,5]
Combined with space-time adaptive processing (STAP), MIMO radar with orthogonal waveforms can obtain better clutter mitigation performance and identify more target parameters
Summary
For colocated multiple-input multiple-output (MIMO) radar, the antennas are close to each other, and each antenna serves as a transceiver. Sensors 2018, 18, 2722 coordinate-descent algorithm [12], optimizes the unimodular sequences to achieve a good integrated or peak sidelobe level of the auto-correlation function They provide more DOFs, orthogonal waveforms induce the omnidirectionality of the antenna, which reduces the signal-to-noise ratio (SNR). The design of a space-time transmit code and receive filter has been presented to improve the SINR by optimizing the partial coherent signals under different constraints, such as a similarity constraint and a constant modulus requirement [24], integrated sidelobe level and peak sidelobe level constraints at the pulse compression output [25], or for generating BPSK waveforms [26]. To preserve the full spatial degrees of freedom and improve the output SINR, a joint design of transmit and receive weights is proposed for colocated MIMO radar using orthogonal waveforms, and an iterative framework is determined to update the weights in real time.
Sign-in/Register to view highlights & summary 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.
