Radar object detection method based on blocking and segmenting AIC model

Abstract

The invention belongs to the technical field of radar object detection and discloses a radar object detection method based on a blocking and segmenting AIC model. The method comprises the following steps: constructing a blocking and segmenting AIC model and obtaining a radar object echo signal, compressing and observing the radar object echo signal to obtain the observation value of the echo signal and an equivalent measuring matrix; constructing a sparse basis matrix, based on a compressed sensing matrix constituted by the sparse basis matrix and the equivalent measuring matrix, conducting sparse reconstructing on the observation value; conducting coherent integration and constant false alarm rate detection on the estimation value of a sparse coefficient to obtain range-doppler information of the radar object echo signal; based on the range-doppler information of the radar object echo signal, detecting the radar object so as to address the problems of bandwidth-decided radar resolution, excessive sampling frequency and difficulty in hardware realizing due to high resolution, and the problems of large data sampling, transmission, processing and storage. The method also reduces hardware cost.

Description

technical field [0001] The invention relates to the technical field of radar target detection, in particular to a radar target detection method based on a block and segment AIC model. Background technique [0002] Compressed Sensing (CS) theory points out that if the original signal is sparse or compressible in a certain domain, the signal can be sampled at a frequency lower than Nyquist, and the original signal can be accurately reconstructed through the reconstruction algorithm. Signal. The CS theory was originally proposed for discrete digital signals. In order to apply it to the analog domain, the Analog to Information Converter (AIC) theory based on compressive sensing appeared, which aims to reduce the signal by using the structural characteristics of the signal. Sampling rate, to solve the problem of compressed storage and transmission of large amounts of data. The focus of research on analog-to-information conversion is to adopt an effective conversion architecture...

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Problems solved by technology

[0004] For the above-mentioned shortcoming of prior art, the object of the present invention is to provide a kind of radar target detection method based on block segmentation AIC model, based on the analog information conversion (Analog to Information Converter, AIC) theory based on compressed sensing, utilize signal The structural characteristics of the research on an effective analog-to-information conversion framewo

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