Compressed sensing radar single target parameter estimation method under low signal-to-noise ratio condition

A technology of compressed sensing and low signal-to-noise ratio, which is applied in the field of communication to achieve the effect of group accumulation

Active Publication Date: 2018-11-06
CHANGSHU RES INST OF DALIAN UNIV OF TECH CO LTD
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Problems solved by technology

[0003] Purpose of the invention: the purpose of the present invention is to solve the problem of how to improve the target parameter estimation performance of compressed sensing radar for a single target under the low signal-to-noise ratio situation

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  • Compressed sensing radar single target parameter estimation method under low signal-to-noise ratio condition
  • Compressed sensing radar single target parameter estimation method under low signal-to-noise ratio condition
  • Compressed sensing radar single target parameter estimation method under low signal-to-noise ratio condition

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Embodiment Construction

[0025] The present invention considers the situation that the target cross-distance unit walks, and studies a compressed sensing radar pulse group accumulation observation method against the target cross-distance unit walk. By designing an observation matrix with a specific structure, the group accumulation of compressed sensing radar echo pulses is realized. Significantly improve the detection performance of compressive sensing radar in the case of low signal-to-noise ratio.

[0026] The present invention generally includes three parts: a grouping method of compressed sensing radar echo signal groups based on target velocity, a design method of compressed sensing radar pulse accumulation observation matrix based on pulse group accumulation, and a joint optimization reconstruction algorithm design for pulse accumulation observation data .

[0027] Assume that the received echo signal group R of the pulse system compressed sensing radar system = [r 1 ,r 2 ,...,r P ] contains...

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Abstract

The invention discloses a compressed sensing radar single target parameter estimation method under a low signal-to-noise ratio condition. The method comprises steps of building a joint sparse representation model for an echo pulse signal group, constructing a pulse compression accumulation observation matrix and performing joint sparse optimization reconstruction. Building of the joint sparse representation model for the echo signal group is used to obtain joint sparse representation for an echo pulse signal group of the compressed sensing radar. Construction of the pulse compression accumulation observation matrix is used for carrying out compression accumulation on the received pulse signal group, and the signal-to-noise ratio of the received signal group is improved. Joint sparse optimization reconstruction is used for reconstructing a joint sparse vector of the echo pulse signal group in a sparse domain to obtain estimation of a target parameter.

Description

technical field [0001] The invention relates to a method for estimating single target parameters of compressed sensing radar under low signal-to-noise ratio, belonging to the communication field. Background technique [0002] In the presence of strong noise, the performance of compressive sensing theory on signal sparse reconstruction will drop rapidly. However, radar systems often face the situation of low signal-to-noise ratio, and strong noise has become a major problem in the process of hardware implementation and engineering application research of compressive sensing radar. In the existing work, scholars have carried out research on the optimal reconstruction algorithm of compressive sensing radar in the background of strong noise. The target scene is accurately reconstructed. Therefore, it is necessary to provide a target parameter estimation method based on the pulse accumulation observation matrix for compressive sensing radar in the case of low signal-to-noise ra...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/41
CPCG01S7/41
Inventor 陶宇付杰刘玉申张静亚徐健
Owner CHANGSHU RES INST OF DALIAN UNIV OF TECH CO LTD
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