Laser radar echo signal denoising method based on synchronous compression conversion

Abstract

The invention provides a laser radar echo signal denoising method based on synchronous compression conversion, and belongs to the technical field of laser data processing. The method includes firstly,taking a noisy laser echo signal as an observation signal and a transmitted laser pulse signal as a reference signal to carry out continuous wavelet transformation to obtain a wavelet time frequencyspectrum; secondly, taking the latter as a template and the former as a target image to carry out image matching and finding the registration time position; thirdly, performing further synchronous compression conversion on the two signals, adjusting the frequency spectrum position when the reference signal is synchronously compressed according to the registration time position, and determining theenvelope of the ridge line at the moment; fourthly, when the observation signal are synchronously compressed, extracting the frequency spectrum according to the ridge line envelope range, taking theenvelope range as a time-frequency range of the effective component of the observation signal, carrying out the signal reconstruction to obtain a denoised result of the laser radar echo signal. The echo pulse signal can be extracted with high quality, and the detection distance and ranging accuracy of the laser radar are improved.

Description

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AI Technical Summary

Benefits of technology

This patented technology describes an approach for improving the quality of detecting reflected light from objects by measuring their distance or movement over different distances with a special device called LAR (lasersaw). By analyzing this reflection data it becomes possible to identify specific features like pulsation patterns within the object's surface being observed. These techniques help improve the performance of laser ranging systems such as Liquid State Tracking Systems (LSS) and Laser Detection AndRangers (LDAR), resulting in better precision measurements across various terrains.

Problems solved by technology

This patented technical problem addressed in this patents relates to how efficiently detecting lidars' sonobotics emitted sound while reducing unwanted disturbances such as ambient radioactive disturbance caused by ghost sounds. Current solutions involve analyzing only one type of tone called Rayleigh scattering, which cannot effectively remove any significant details like ground roughness or shadows due to environmental factors. There are proposals involving combining two types of techniques: sinewave transformation and wavelets transform. These improvements aim towards better denoisers and improved image quality.

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