Non-uniform resampling technology-based maneuvering target coherent integration detection method

Abstract

The invention relates to a non-uniform resampling technology-based maneuvering target coherent integration detection method. According to the method, demodulation and pulse compression processing areperformed on received radar receiving signals in a fast time domain; fast Fourier transformation is performed on pulse compressed signals; constraint conditions are calculated, and an empty matrix isgenerated; whether a selected time point and selected time delay meet the constraint conditions at the same time is judged, if the selected time point and selected time delay meet the constraint conditions, non-uniform resampling is performed on range-direction frequency-domain signals, corresponding element values are calculated, if the selected time and selected time delay do not meet the constraint conditions, the corresponding element values are 0; all time points and time delay are sequentially selected, generated element values are arranged into the matrix; fast Fourier transformation and inverse fast Fourier transformation are performed on correlation function matrix data, so that coherent integration is completed; and whether a target exists or not is judged by means of a coherentintegration matrix. The method disclosed by the invention is not influenced by a searching method in a detection process, is low in calculation complexity and excellent in detection performance.

Description

technical field [0001] The invention belongs to the technical field of radar, and further relates to a coherent accumulation detection method of a maneuvering target based on non-uniform resampling technology in the technical field of radar signal processing. The invention can be used for weak maneuvering target detection in low signal-to-noise ratio environment. Background technique [0002] Faint object detection has attracted increasing attention due to its demand in practical applications. These weak maneuvering targets have typical characteristics such as small RCS (radar cross-sectional area) and small echo energy. In order to achieve effective detection of weak maneuvering targets, it is necessary to use time-for-energy accumulation technology to accumulate energy for echo data. . Traditional radar detection methods face major challenges such as high-order range shift and Doppler frequency shift caused by long observation time. How to realize the rapid detection of...

AI Technical Summary

Problems solved by technology

However, the disadvantage of this method is that all search parameters need to be traversed when constructing the detection unit graph, because this method needs to perform multi-dimensional search on the radar target parameters, which makes the calculation complexity high and the detection speed is slow

However, the disadvantage of this method is that this method uses iterative adjacent cross-correlation operations to avoid multi-dimensional search, because the repeated use of cross-correlation functions will bring additional noise terms, so the algorithm based on ACCF can only be used in high-signal Work in an environment with a noise ratio, not suitable for a working environment with a low signal-to-noise ratio

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