Mixed pulse accumulated observation based target parameter estimation method of compressed sensing radar

Abstract

The invention discloses a mixed pulse accumulated observation based target parameter estimation method of a compressed sensing radar. The method mainly comprises an echo signal grouping method of thecompressed sensing radar based on the target speed, a mixed pulse accumulated observation matrix design method of the compressed sensing radar based on pulse grouped accumulated and target distance walking compensation, and design of a combined optimized reconstruction algorithm aimed at data after pulse accumulated observation. The observation matrix of the specific structure is designed, groupedaccumulation of the echo pulses of the compressed sensing radar is realized, walking compensation in the target distance is realized further via a target distance walking compensation observation matrix, and the detection performance of the compressed sensing radar under the lower signal to noise ratio condition is improved substantially.

Description

technical field [0001] The invention specifically relates to a compression sensing radar target parameter estimation method based on mixed pulse accumulation observation. Background technique [0002] In the presence of strong noise, the performance of compressed sensing theory on signal sparse reconstruction will decline rapidly. However, radar systems often face the situation of low signal-to-noise ratio. Strong noise has become an important aspect of compressive sensing radar in hardware implementation and engineering application research. A major problem faced in the process. In the existing work, scholars have carried out research on the optimal reconstruction algorithm of compressive sensing radar in the background of strong noise. Accurate reconstruction of the target scene often faces the problem of the target moving across distance units during the long-term pulse accumulation process. Contents of the invention [0003] Purpose of the invention: In order to over...

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Problems solved by technology

[0002] In the presence of strong noise, the performance of compressed sensing theory on signal sparse reconstruction will decline rapidly. However, radar systems often face the situation of low signal-to-noise ratio. Strong noise has become an important aspect of compressive sensing radar in hardware implementation and engineering application research. A major problem faced in the process of

In the existing work, scholars have carried out research on the optimal reconstruction algorithm of compressive sensing radar in the background of strong noise. Accurate reconstruction of the target scene, in the process of long-term pulse accumulation, often faces the problem of the target moving across distance units

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