A mimo radar sidelobe suppression method

Abstract

A sidelobe suppression method for MIMO radar. According to the synthetic reciprocal spectrum of N-channel transmitted signals and N orthogonal sub-band windows, N orthogonal filters are obtained, and the echo signals are sequentially subjected to orthogonal filtering and down-sampling. and quadrature mixing, done for N 2 Channel separation of the received signal, for N after channel separation 2 The received signals are weighted and accumulated to complete the combined transmission and reception beamforming to obtain low sidelobe target signals. The invention satisfies the real-time and low sidelobe requirements of the radar system, is beneficial to improving the detection performance of the radar system, and provides an effective way for the development of the MIMO radar.

Description

technical field [0001] The invention relates to the field of missile-borne radar, in particular to a MIMO radar sidelobe suppression method. Background technique [0002] MIMO radar is a new system radar developed in recent years. Compared with traditional phased array radar, it has advantages in resolution, target detection performance, and target parameter estimation performance. MIMO radars often use a pulse compression scheme. The output signal after pulse compression has undesired range side lobes. Too high side lobes can easily make strong scattering points cover weak scattering points. Therefore, it is necessary to suppress the range side lobes and improve the dynamic range of the system to detect targets. For MIMO radars using frequency-division chirp signals, since the radar echo signal is the superposition of multiple orthogonal echo signals, the mutual influence between the orthogonal signals makes the sidelobe problem more complicated, and sidelobe suppression i...

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Problems solved by technology

[0004] Matched filter windowing method can well suppress the sidelobe of large time-band product signals, but at the cost of loss of signal-to-noise ratio and reduced resolution, and the effect of windowing on small band-product signals is not good

The sub-band reciprocal spectral filtering method performs spectral correction on the sub-band signal, which cannot effectively eliminate the mutual influence between the quadrature echo signals and reduce the in-band ripple of the output signal.

The comprehensive signal spectrum correction processing method corrects the spectrum of the composite signal, replacing the two links of matched filtering and equivalent transmit beamforming in the conventional processing, and eliminates the mutual influence between the orthogonal echo signals for the composite bandwidth spectrum correction, reducing the The in-band ripple of the output signal is reduced, but the bandwidth of the output signal of this method is the synthesis bandwidth, which cannot be down-sampled subsequently, which increases the complexity of the system. At the same time, there are three types of range ambiguity sidelobe and Doppler sensitivity problems.

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