Distance-Doppler-angle three-dimensional side lobe suppression method suitable for MIMO radar

Abstract

According to the distance-Doppler-angle three-dimensional side lobe suppression method suitable for the MIMO radar, only the grid points near the grid points to be solved are selected to participate in iterative filtering, data dimension reduction is achieved, estimation of a target distance-Doppler-angle image can be achieved with low operation complexity, target energy is gathered in a part of distance-Doppler units through two-dimensional matched filtering, then distance-Doppler windowing processing is carried out on a two-dimensional matched filtering output result, and window data corresponding to each to-be-solved grid point is obtained; only window data, namely lattice points near to-be-solved lattice points, are selected to participate in iteration, so that data dimension reduction is realized, the problem of too high calculation complexity is solved, and when the number of sampling points of each pulse is large, the calculation complexity of the method is far lower than that of a traditional algorithm.

Description

technical field [0001] The invention relates to the technical field of radar measurement, in particular to a range-Doppler-angle three-dimensional sidelobe suppression method suitable for MIMO radar. Background technique [0002] Due to its high resolution and excellent parameter estimation performance, MIMO radar has attracted increasing attention. MIMO radar has multiple transmit and receive antennas, which provide more degrees of freedom for waveform design in order to obtain the desired covariance characteristics. For transmitting antennas, MIMO radars can use orthogonal waveforms or other low-correlation waveforms; for receiving antennas, a series of matched filters can be used to obtain more target amplitude and phase relationships. [0003] In the case of designing the transmitting waveform and filling the virtual array, the number of identifiable targets of the MIMO radar is M times that of the same phased array radar, and M is the number of elements of the receivin...

AI Technical Summary

Problems solved by technology

In 2010, in the article "Iterative Adaptive Approaches to MIMO Radar Imaging", Roberts et al. proposed a MIMO radar imaging algorithm based on iterative adaptive method, which can provide accurate target estimation in the case of a single snapshot, but the algorithm The computational complexity is large, and it is difficult to apply to the actual radar system

[0005] It can be seen that in the process of multi-target range-Doppler-angle imaging, MIMO radar uses the traditional iterative filtering algorithm to perform adaptive iterative filtering based on the matched filtering results to suppress sidelobes. information, the computational complexity is too high

Therefore, it is necessary to solve the problem of high computational complexity of the traditional iterative filtering algorithm used in the multi-target range-Doppler-angle imaging process of MIMO radar

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