Laser radar signal processing method based on wavelet entropy threshold value and modulus maximum value method

A mode maxima, lidar technology, used in radio wave measurement systems, instruments, etc., to achieve the effect of accurate signal reconstruction

Inactive Publication Date: 2013-04-10
WUHAN UNIV
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Problems solved by technology

For the multi-spectral laser radar system for earth observation, there is not yet a mature and effective method that can effectively remove the noise of the laser radar echo signal and retain as much signal detail information as possible

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  • Laser radar signal processing method based on wavelet entropy threshold value and modulus maximum value method
  • Laser radar signal processing method based on wavelet entropy threshold value and modulus maximum value method
  • Laser radar signal processing method based on wavelet entropy threshold value and modulus maximum value method

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Embodiment

[0031] The present invention will be described in further detail below.

[0032] A laser radar signal processing method based on threshold denoising based on wavelet entropy and modulus maximum method, the specific implementation method is as follows:

[0033] (1) Using discrete dyadic wavelet transform, the laser radar signal is decomposed by multi-scale wavelet with the number of layers J.

[0034] For a signal f(t)∈L 2 The binary wavelet transform coefficients of (R) are:

[0035] WT 2 j ( τ ) = f ( t ) * ψ 2 j , τ ( t ) = 2 - j 2 ...

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Abstract

The invention belongs to the field of laser radar signal processing, relates to a laser radar signal processing method based on a wavelet entropy threshold value and a modulus maximum value method, and relates to wavelet transform. The laser radar signal processing method based on the wavelet entropy threshold value and the modulus maximum value method is characterized in that at first a signal is transformed through multi-scale binary wavelet, a signal catastrophe point is removed based on a three sigma standard, the modulus maximum value is adopted, a low scale signal feature is searched and acquired through a selected maximum point on the highest scale based on the theory of scale modulus maximum tracking. Simultaneously, in allusion to halfway situation of denoising effect of a first layer detail information noise, the theory of wavelet entropy threshold is introduced to carry out threshold de-noising, and self-adaption threshold value selection is achieved. The signal noise in a multispectral laser radar system can be effectively removed, and the signal detail information can be retained as much as possible. Therefore, the detectivity of the laser radar is improved, and the laser radar signal processing method based on the wavelet entropy threshold value and the modulus maximum value method has a very good application prospect and development potential.

Description

technical field [0001] The invention relates to a laser radar signal processing method, in particular to a laser radar signal processing method based on wavelet entropy threshold and modulus maximum method. Background technique [0002] As a high-tech, lidar is widely used in many disciplines. However, the echo signal of lidar is weak, the working environment is complex, and the noise interference is strong, so the detection ability is greatly restricted. In order to improve the performance of lidar, it is particularly important to use effective signal processing methods to process the weak echo signals of lidar. At present, the main tools for signal processing are Fourier transform and wavelet transform. Fourier transform can analyze the spectral information of the signal from the entire time domain (space domain), but it is not suitable for analyzing the local frequency variation of the signal. Wavelet transform is a relatively new signal analysis theory. As a tool for s...

Claims

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Application Information

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IPC IPC(8): G01S7/48
Inventor 龚威史硕吕立蕾祝波宋沙磊
Owner WUHAN UNIV
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