High-resolution low-sidelobe deconvolution spectrum estimation method based on space-time processing

A deconvolution, high-resolution technology, applied in the field of array signal processing and signal processing, can solve the problems of not very deep, joint spatio-temporal processing in the field of sonar array signal processing theoretical research and applications, etc., to improve the impact, suppress The effect of side lobes and breaking the Rayleigh limit

Pending Publication Date: 2018-11-06
HARBIN ENG UNIV
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Problems solved by technology

At present, space-time joint processing technology has been studied in the field of radar, but it is not very deep; the theoretical research and application of space-time joint processing in the field of sonar array signal processing is even less

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  • High-resolution low-sidelobe deconvolution spectrum estimation method based on space-time processing
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  • High-resolution low-sidelobe deconvolution spectrum estimation method based on space-time processing

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Embodiment Construction

[0034] Below in conjunction with accompanying drawing, the method that invention provides is described further:

[0035] (1) Obtain a section of received signal. Assume that the receiving base array is a one-dimensional uniform linear array, the number of array elements is M=50, and the uniform linear array is placed in water, and the sampling rate is f s =5kHz, the speed of sound in water is c=1500, and the distance between array elements is d=(c / f 0 ) / 2, where f 0 =200Hz is the frequency of a sound source, assuming that the sound source is incident on the sensor array in the form of a plane wave, and the incident direction is sinθ 0 = 0.5. In addition, there are two frequencies f 1 = 205Hz and f 2 = 210Hz sound source, incident azimuths are sinθ 1 = 0.5 and sin θ 2 =-0.1, the time length is T=1 second. The received signal in two cases is simulated here: the array received signal without noise; the signal-to-noise ratio of the three sound sources is SNR 0 =10dB, SNR ...

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Abstract

The invention provides a high-resolution low-sidelobe deconvolution spectrum estimation method based on space-time processing, and belongs to the field of signal processing. The method is suitable forthe high-resolution power spectrum estimation of a received array signal at frequency and azimuth under the condition that the data sample is limited. According to the invention, a deconvolution algorithm is used for the multi-dimensional deconvolution operation of an array signal power spectrum with the limited length and a multi-dimensional window function power spectrum, so the method can completely eliminate the impact caused by a window function under the ideal conditions, and obtains a real power spectrum of a signal. Based on the conventional convolution technology, the method can greatly improve the frequency resolution and angle resolution of a power spectrum estimation result, can greatly inhibit the sidelobe caused by the limited length of data, provides an additional signal tonoise ratio, and provides a new idea for the multi-target detection and recognition and weak signal extraction in the array signal processing. In addition, the method is high in operability, is moderate in calculation burden, is stable in calculation result, and is very wide in application range.

Description

technical field [0001] The invention provides a high-resolution and low-sidelobe deconvolution spectrum estimation method based on time-space processing, which belongs to the field of signal processing, and in particular relates to the field of array signal processing. Background technique [0002] Array signal processing is to place multiple sensors in different positions in space, and receive and process signals in the form of an array. Compared with a single sensor, the array signal processing composed of multiple sensors has the following advantages: flexible beam steering, high signal gain, strong anti-interference ability and superb spatial resolution ability. Therefore, array signal processing technology has developed rapidly in theory and practical application, and has become an important technical means for signal enhancement and information extraction, and is mostly used in radar, sonar, seismology, wireless communication, biomedicine and other fields. [0003] In...

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Application Information

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IPC IPC(8): G01S5/18
CPCG01S5/18
Inventor 朴胜春郭微宋扬
Owner HARBIN ENG UNIV
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