Radon-Fourier transformation (RFT) blind speed side lobe (BSSL) suppression method

Abstract

The invention discloses a Radon-Fourier transformation (RFT) blind speed side lobe (BSSL) suppression method. The method comprises the steps that a radar system alternately transmits three linear frequency modulation signals of different pulse recurrence intervals (PRIs), radar echo signals are received, and demodulation and pulse compression are conducted; according to the principle of RFT, the radar echo signals corresponding to the three PRIs are subjected to RFT processing, and thus three sets of long-time phase-coherent accumulation speed-distance two-dimensional results are obtained; theminimum values of the three sets of RFT processing results are taken in pairs for processing, and three sets of minimum value results are obtained; and the maximum value of the three sets of minimumvalue results is taken, and thus a final processing result is obtained, and BSSL suppression is achieved. According to the method, BSSL suppression is achieved, the false alarm probability is decreased, and thus the system detection probability is increased.

Description

technical field [0001] The invention relates to the field of radar signal processing, in particular to a blind speed side lobe suppression method of Laden Fourier transform. Background technique [0002] In radar signal processing, the long-term accumulation of signals can effectively improve the signal-to-noise ratio of the system and improve the detection ability of low-observable targets. There are two types of long-term accumulation algorithms, coherent accumulation and non-coherent accumulation. Among them, the performance of coherent accumulation is better than that of non-coherent accumulation. It is an optimal energy accumulation method and has been extensively and deeply studied by many scholars. [0003] Moving target detection (MTD) is the most commonly used coherent accumulation algorithm, which is simple and efficient, but when the target moves within a coherent accumulation period, the MTD algorithm is no longer applicable. In order to solve this problem, a me...

AI Technical Summary

Problems solved by technology

However, in practical applications, affected by factors such as discrete pulse sampling, limited range resolution, and limited number of accumulated pulses, the output of RFT processing is always accompanied by blind speed side lobes (BSSL), which will bring large false targets , seriously affecting the final detection performance

In order to suppress the blind speed sidelobe, researchers have proposed some methods one after another. For the windowing method, there will still be a large sidelobe residue, and cause the loss of signal-to-noise ratio; for the combination of two pulse repetition interval (PRI) The processing method cannot detect the target whose speed is on the Doppler blind speed band of a certain PRI; the method based on the random repetition interval, its complex signal model and processing algorithm are not convenient for the design and implementation of the system

Images