Broadband radar detection method based on weighted sequence statistics and multiple-pulse coherence accumulation

Abstract

The invention discloses a broadband radar detection method based on weighted sequence statistics and multiple-pulse coherence accumulation. The method can be used to mainly solve a detection problem under an unknown scene of a high-speed moving target space distribution state. The method is characterize by: generating broadband radar target multipulse echo with clutter and performing FFT to the echo along a distance domain; calculating a clutter normalization covariance matrix; performing prewhitening processing and chirp-z transformation to distance frequency domain data; estimating a target speed and performing phase-coherent accumulation; performing IFFT to the pulse which is performed with the phase-coherent accumulation; calculating each distance unit square envelope of the pulse and performing descending order; carrying out weighted processing to the data after being performed with the descending order; initializing a counter; calculating the adaptive matched filter energy accumulation of a counting distance unit; detecting whether the target exists according to a threshold. By using the method of the invention, the clutter can be effectively inhibited. Migration through resolution cell of the echo can be corrected. Through descending-order weighted processing, the radar can rapidly detect the target under the unknown target space distribution state.

Description

technical field [0001] The invention belongs to the technical field of radar and relates to a target detection method, which can be used for efficient processing of broadband radar detection based on multiple coherent pulse echoes in non-Gaussian clutter. Background technique [0002] For matched filter theory, if the target impulse response is known, the optimal detector for wideband radar is a filter matched to the transmitted waveform and the target impulse response. But in the actual situation, the impulse response of the target to be detected is unknown, so it is difficult to realize the matched filter detector in reality. So, in the past few decades, several optimal and suboptimal detectors based on various uncertainty assumptions of single target echoes have been invented. If the number and position of the target scattering center are known, the optimal incoherent integration detector ONCID can be realized by accumulating the envelope square of the echo distance unit...

AI Technical Summary

Problems solved by technology

The above detection algorithms do not take into account the over-distance unit movement of the target between different receivers or the over-distance unit movement between multiple echoes. loss, but when the relative speed between the target and the radar is high, the over-distance unit movement of the target echo will reduce the detection performance of the radar, and even cause the loss of the target to be detected in severe cases

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