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Time-frequency atom dictionary for signal sparse representation and reconstruction and signal processing method

A time-frequency atomic, signal sparse technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as difficult to extract micro-Doppler frequencies and micro-motion parameters

Inactive Publication Date: 2020-12-22
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

Some well-known atoms proposed in sparse signal processing and some special atoms used in specific occasions cannot sparsely or succinctly represent signals containing micro-Doppler effects, and it is difficult to extract micro-Doppler frequency and micro-motion parameters of micro-moving targets The problem.

Method used

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  • Time-frequency atom dictionary for signal sparse representation and reconstruction and signal processing method
  • Time-frequency atom dictionary for signal sparse representation and reconstruction and signal processing method
  • Time-frequency atom dictionary for signal sparse representation and reconstruction and signal processing method

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Embodiment Construction

[0038] Now in conjunction with embodiment, accompanying drawing, the present invention will be further described:

[0039] MicroDopplerlet time-frequency atom and dictionary of the present invention are:

[0040] The MicroDopplerlet time-frequency atom is composed of a Gaussian window function multiplied by a time-varying complex sine function, and the time-frequency atom is expressed as

[0041]

[0042] where f c is the carrier frequency, λ=c / f c is the wavelength and c is the speed of sound. The MicroDopplerlet time-frequency atom is composed of a Gaussian window function multiplied by a time-varying complex sine function, so it is an oscillatory function with a Gaussian envelope, and there are four variable real parameters: s, u, A v and ω v , parameter value range: 0v v <+∞, changing these parameters can adjust the envelope shape and oscillation characteristics.

[0043] The Gaussian window function item g has two parameters: one is the scale factor s, and the oth...

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Abstract

The invention relates to a MicroDoppler time-frequency atom dictionary for signal sparse representation and reconstruction and a signal processing method. The MicroDoppler time-frequency atom dictionary is formed by multiplying a Gaussian window function by a time-varying complex sine function. In the information fields of signal processing, communication engineering and the like, the MicroDopplertime-frequency atom can be used for carrying out sparse representation and reconstruction on signals containing micro-Doppler information, and has specificity. By changing the four variable parameters in the time-frequency atom, complex micro Doppler signals and signal components can be conveniently and flexibly expressed and reconstructed by adopting a signal sparse decomposition theory. When atransmitting signal is used for actively detecting a target, micro-motion information parameters such as vibration, swing and rotation of the target can be extracted and used for detecting and identifying the target, and echo modeling of the micro-motion target can be used for researching the micro-Doppler effect of the target. When the method is used for wireless communication, micro-motion parameters and micro-Doppler information of a communication transmission channel can be extracted.

Description

technical field [0001] The invention belongs to the field of information and communication engineering, and relates to a MicroDopplerlet time-frequency atomic dictionary and a signal processing method for signal sparse representation and reconstruction, which are used for sparse representation and reconstruction of signals containing micro-Doppler effect characteristics, and to extract targets The micro-Doppler frequency, micro-motion parameters and other information characteristics of periodic reciprocating motions such as component vibration, swing, and rotation provide characteristic parameters for target detection, target recognition, target imaging, and communication channel estimation. Background technique [0002] The purpose of signal processing is to better extract or reveal the information contained in the signal. The Micro-Doppler Effect (Micro-Doppler Effect) associated with the micro-motion (Micro-motion) of the target components such as vibration, swing, and ro...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06F2218/00G06F18/2136G06F18/28
Inventor 冯西安寇思玮
Owner NORTHWESTERN POLYTECHNICAL UNIV
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