Robust adaptive pulse compression method based on twice phase compensation

Abstract

The invention discloses a robust adaptive pulse compression method based on twice phase compensation, which comprises the following steps of: firstly compensating phase mismatch caused by distance sampling mismatch, and then compensating phase mismatch caused by intra-pulse Doppler mismatch; and finally, realizing distance sidelobe suppression by using a dimensionality reduction adaptive pulse compression method. According to the method, the phase mismatch caused by the distance sampling mismatch and the Doppler mismatch in the echo is compensated by estimating the distance sampling mismatch and the Doppler mismatch in sequence, and the problem that the adaptive pulse compression output distance sidelobe is remarkably increased due to the phase mismatch is solved; meanwhile, for the problem of mutual influence of multi-target distance sidelobes in distance dimension data, the mutual influence degree among the multiple targets is described by constructing a covariance matrix among different matched filtering waveforms, and then the distance sidelobes of the multiple targets are restrained through covariance matrix inversion operation.

Description

technical field [0001] The invention relates to the field of radar signal processing, in particular to the field of adaptive pulse compression of radar signals, in particular to a robust adaptive pulse compression method based on twice phase compensation. Background technique [0002] With the wide application of radar technology, users have put forward higher and higher requirements for radar system performance indicators such as operating range, distance resolution capability, and measurement accuracy. Pulse compression technology based on large time-width-bandwidth product signals can simultaneously meet radar System requirements for radar detection range and range resolution. [0003] Traditional pulse compression techniques are usually implemented using a matched filter (Matched Filter, MF). The matched filter is an optimal linear filter that maximizes the output signal-to-noise ratio under the condition of point target and Gaussian white noise. However, in practical ...

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Problems solved by technology

For the commonly used chirp signal, the range sampling mismatch will make it difficult for the echo to form a deep notch at the range side lobe during the adaptive pulse compression process, resulting in a serious decline in the performance of the adaptive pulse compression

In this regard, Professor Blunt's team proposed a strategy of oversampling in a distance unit to suppress the impact of distance sampling mismatch, but oversampling will lead to a substantial increase in storage and calculation

However, Li Xiuyou and others proposed an adaptive pulse compression method based on the minimum variance criterion with linear constraints, which solves the problem of distance sampling mismatch by setting the main lobe width and interference zero constraint conditions, but this algorithm needs to define the strength of the target in advance, This is difficult to quantify in practice

Moreover, the problem of adaptive pulse compression in the case of simultaneous Doppler mismatch and range-sampling mismatch has not been reported yet

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