Laser radar echo signal noise reduction method based on parameter optimization VMD

A technology of echo signal and laser radar, which is applied in the field of noise reduction of laser radar echo signal based on parameter optimization VMD, can solve the problems of the influence of decomposition results and difficulty in obtaining satisfactory results, etc.

Active Publication Date: 2020-03-06
NANJING UNIV OF SCI & TECH
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Problems solved by technology

However, the decomposition parameters of the VMD method have a greater impact on its decomposition results
At present, in the field of lidar signa

Method used

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  • Laser radar echo signal noise reduction method based on parameter optimization VMD
  • Laser radar echo signal noise reduction method based on parameter optimization VMD
  • Laser radar echo signal noise reduction method based on parameter optimization VMD

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Embodiment 1

[0117] A method for denoising lidar echo signals based on parameter optimization VMD, comprising:

[0118] Step 1: Sampling the noisy lidar echo signal through the oscilloscope, figure 2 is the sampled signal waveform. It can be seen from the figure that due to background light and circuit noise interference, high-frequency Gaussian white noise and pulse spike noise appear in the sampled echo signal, making the original echo signal obliterated in the noise and cannot be identified, and it is difficult to further calculate and analyze the waveform. analyze.

[0119] The second step: initialize the VMD algorithm to decompose the parameter range and the locust optimization algorithm. That is, the number of decomposition modal components K is an integer in the interval [2,15]; the secondary penalty factor α is in the interval [1000,10000]; the number of populations of the locust optimization algorithm is N=30, and the maximum number of iterations is L =20.

[0120] The third ...

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Abstract

The invention discloses a laser radar echo signal noise reduction method based on parameter optimization VMD. Firstly, an energy loss coefficient is taken as a fitness function, and a grasshopper optimization algorithm (GOA) is adopted to obtain the optimal parameters of a VMD algorithm, and a noise laser radar echo signal is subjected to VMD decomposition based on the optimal parameters; and thenhausdorff distance is adopted for distinguishing related modality and non-correlation mode, Gaussian white noise in the related modality is further filtered by adopting a wavelet de-noising method, and related modal reconstruction is carried out to obtain the noise-reduced echo signal. The method can effectively avoid the modal aliasing phenomenon, can retain useful information in the original signal while noise reduction is performed, has the advantages of strong self-adaptability, strong robustness, strong reliability and the like, and can effectively carry out noise reduction and filter processing on the echo signal of the laser radar.

Description

technical field [0001] The invention belongs to the technical field of laser radar signal processing, and in particular relates to a method for reducing noise of laser radar echo signals based on parameter optimization VMD. Background technique [0002] Lidar is the product of the combination of traditional radar technology and modern laser technology. It has the advantages of high resolution, wide detection range, and strong anti-interference ability. It plays an important role in remote sensing, target tracking, 3D imaging and other fields. In practical applications, the intensity of the lidar echo signal decreases with the increase of the detection distance, and various environmental disturbances such as strong solar background light during the day will cause the signal to be completely submerged in noise, which will directly affect the lidar The effective detection distance and accuracy. Therefore, using an effective noise reduction method to extract useful signals from...

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Application Information

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IPC IPC(8): G01S7/493G01S7/487G01S7/48G06K9/00
CPCG01S7/493G01S7/4876G01S7/4802G06F2218/06
Inventor 张合华抟张祥金戴可人杨宇鑫姚宗辰刘鹏
Owner NANJING UNIV OF SCI & TECH
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