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Lifting Wavelet Double Threshold Denoising Algorithm Based on Signal Strength Adaptive Tabu Search

A tabu search algorithm and signal strength technology, used in radio wave measurement systems, satellite radio beacon positioning systems, measurement devices, etc.

Inactive Publication Date: 2016-10-19
BEIJING INST OF SPACECRAFT SYST ENG +1
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Problems solved by technology

However, these conventional methods often fail when dealing with weak signals, because conventional methods cannot effectively improve the signal-to-noise ratio of weak signals corroded by noise, and in the process of traditional signal amplification, weak signals are easily distorted and deformed

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  • Lifting Wavelet Double Threshold Denoising Algorithm Based on Signal Strength Adaptive Tabu Search
  • Lifting Wavelet Double Threshold Denoising Algorithm Based on Signal Strength Adaptive Tabu Search
  • Lifting Wavelet Double Threshold Denoising Algorithm Based on Signal Strength Adaptive Tabu Search

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Embodiment Construction

[0044] Embodiments of the present invention will be described in further detail below in conjunction with the accompanying drawings.

[0045] A lifting wavelet double-threshold denoising algorithm based on signal strength adaptive tabu search, comprising the following steps:

[0046] Step 1. Use the differential coherent accumulation algorithm to capture weak GNSS signals.

[0047] In harsh environments, such as tunnels and canyons, different technical means have been proposed in the prior art to overcome the difficulty of weak Global Navigation Satellite System (GNSS) signal acquisition. In order to improve the sensitivity of the receiver and obtain weak GNSS signals more accurately, traditional algorithms include coherent integration (COH), non-coherent integration (NCOH) and differential coherent integration (DFC). In terms of weak GNSS signal acquisition, COH is a direct and effective method to improve the signal-to-noise ratio of detected signals. However, 50 bps of nav...

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Abstract

The invention relates to a lifting wavelet double-threshold denoising algorithm based on signal strength self-adaptive tabu search. The algorithm is mainly characterized in that weak global navigation satellite system signals are captured through a differential coherent accumulation algorithm; the weak global navigation satellite system signals are analyzed through decomposition of lifting wavelets; a signal strength self-adaptive tabu search algorithm is used for optimizing selection of the double thresholds in denoising of the lifting wavelets; the captured weak global navigation satellite system signals are subjected to post-processing through the optimal double thresholds. The method is reasonable in design, the weak GNSS signals are captured through the differential coherent accumulation algorithm, the captured weak GNSS signals are subjected to post-processing through the lifting wavelet double-threshold denoising method optimized by signal strength self-adaptive tabu search, low calculation time cost and high accuracy are achieved, and the signal to noise ratio of signal output is increased.

Description

technical field [0001] The invention belongs to the technical field of weak signal processing, in particular to a lifting wavelet double-threshold denoising algorithm based on signal strength self-adaptive tabu search. Background technique [0002] In recent years, in order to obtain more accurate navigation information, such as altitude, speed and position, Global Navigation Satellite System (GNSS) technology has been widely used in the military field, and plays a very important role in vehicle navigation, personal handheld terminals and various civilian fields. important role. However, in relatively harsh environments, such as villages, forests, canyons, and indoor environments, the signal-to-noise ratio of the received signal is very low due to propagation loss and multipath fading. Compared with an open environment, the signal will produce 15dB-20dB attenuation. In addition, the power of the weak signal of the navigation satellite is far lower than the applicable range...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S19/21G01S19/30
CPCG01S19/24G01S19/37
Inventor 刘崇华姜竹青王璐赵毅王宇鹏黄承恺王雪旸刘欣萌李超杨玉莹
Owner BEIJING INST OF SPACECRAFT SYST ENG
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