Long-term accumulation detection method of radar target based on LFM continuous wave

Abstract

The invention discloses a detection method for radar target long-time accumulation based on a linear frequency modulation continuous wave. The method comprises the following steps: firstly, confirming a to-be-searched space according to a motion model of a to-be-searched target; emitting a linear frequency modulation continuous wave signal, and performing dechirping treatment on a received radar target echo, thereby acquiring the target echo after dechirping; performing FFT (Fast Fourier Transform) on the target echo after dechirping along a fast time dimension, thereby acquiring an echo signal of a slow time-fast time frequency domain; for the echo signal, performing phase-coherent accumulation on each motor parameter vector in the searching space, thereby acquiring evaluation values; and utilizing the evaluation values to judge a threshold. According to the method disclosed by the invention, through long-time phase parameter accumulation, the signal-to-noise ratio after the target accumulation is effectively increased under the condition of limited emitter power, so that the detection performance of the target can be promoted.

Description

technical field [0001] The invention relates to the technical field of radar signal processing, in particular to a long-time accumulation detection method for radar targets based on chirp continuous waves. Background technique [0002] Frequency modulated continuous wave (FMCW) is a mainstream technical method used in radar detection at present. It is a radar system that extracts information such as distance and target physical properties from the phase difference of the echo signal by frequency modulation on the continuously transmitted signal, and changes the broadband time domain observation of the traditional pulse time domain reflection radar into a narrowband frequency domain observation. , providing rich and stable time, amplitude, frequency, phase, polarization and other information, with super anti-interference ability; changing the transient high-power observation into relatively low-power transmission at the frequency division point, improving the long-distance ra...

AI Technical Summary

Problems solved by technology

However, the performance of the above methods mainly depends on the signal-to-noise ratio of the echo signal

When the signal-to-noise ratio is low, the signal buried in the noise will be difficult to be detected after de-frequency modulation processing, let alone the acquisition of target information

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