Compressed sensing method based on frequency domain prior information

A priori information and compressed sensing technology, applied to electrical components, code conversion, instruments, etc., can solve the problem of low signal reconstruction accuracy

Pending Publication Date: 2019-10-22
HANGZHOU DIANZI UNIV
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Problems solved by technology

[0004] Aiming at the problem of low signal reconstruction accuracy in the traditional compressed sensing system, the present invention proposes a compressed sensing method based on frequency domain prior information

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  • Compressed sensing method based on frequency domain prior information
  • Compressed sensing method based on frequency domain prior information

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Embodiment Construction

[0029] The present invention is further analyzed below in conjunction with accompanying drawing.

[0030] The invention converts the underwater echo signal from the time domain to the frequency domain when the underwater echo signal is complex, contains a lot of noise and is difficult to process, and combines the compression sensing theoretical framework to compress and reconstruct the signal.

[0031] This example implements the simulated underwater echo signal The pulse width is one millisecond, where ω c is the carrier frequency, which is 30kHz. The compressive sensing method and the traditional compressed sensing method (using discrete cosine sparse matrix and Gaussian measurement matrix) proposed by the present invention to integrate into the frequency domain prior information are when the compression ratio is 50% and 20%, and the signal-to-noise ratio (Snr=10lg( Ps / Pn), Ps and Pn are the effective power of the signal and noise respectively) are processed when they are...

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Abstract

The invention discloses a compressed sensing method based on frequency domain prior information. Aiming at the problem that a traditional compressed sensing system is low in signal reconstruction processing precision, the compressed sensing method transforms time domain signals into a frequency domain, and constructs a frequency domain prior sparse matrix by combining the theory of signal sparse decomposition. As a compressed sensing theory framework is fused, the compressed sensing method can rapidly and accurately recover an original signal through measurement matrix compression in combination with a greedy rapid iterative algorithm.

Description

technical field [0001] The invention belongs to the technical field of compression and reconstruction of underwater sonar echo signals, and in particular relates to a compression sensing method incorporating frequency-domain prior information. Background technique [0002] The marine environment is complex and changeable, and there are serious noises and interferences, resulting in weak echoes of underwater targets and low signal-to-noise ratios. Active sonar detection and identification pose severe challenges. The recognition of echo signals generated by active sonar is the basis for recognizing underwater targets, and has always been a hot and difficult issue in the field of underwater acoustics. Compressed Sensing (CS) is a new research field developed in recent years based on signal sparse representation and approximation theory. It makes full use of the sparse characteristics of the target signal structure and projects high-dimensional sparse signals to low-dimensional ...

Claims

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Application Information

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Patent Type & AuthorityApplications(China)
IPC IPC(8): H03M7/30G01S7/52
CPCH03M7/3062G01S7/52
Inventor孙同晶李季刘桐王红
OwnerHANGZHOU DIANZI UNIV