Wireless positioning method based on wavelet transform modulus maxima

A modulus maximum and wavelet transform technology, applied in the field of wireless positioning, can solve the problems of large signal singularity and missing important components of the signal

Pending Publication Date: 2022-03-22
CHINA UNIV OF PETROLEUM (EAST CHINA)
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Problems solved by technology

However, in actual situations, the spectrum of the useful signal and the spectrum of the noise often overlap, such as Gaussian white noise, whose spectrum is almost all over the entire frequency domain, so the

Method used

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  • Wireless positioning method based on wavelet transform modulus maxima
  • Wireless positioning method based on wavelet transform modulus maxima
  • Wireless positioning method based on wavelet transform modulus maxima

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Embodiment Construction

[0027] Under the AWGN channel, a wavelet transform model is used to perform a noise-free simulation experiment, and the signal sampling frequency is fc = 50GHz. figure 2 and image 3 The original UWB signal and the noise of UWB signals, respectively.

[0028] When the UWB signal is wavelet decomposes, "SYM6" wavelet is selected because it can perform orthogonal decomposition, with tightness in the time domain, and regularity also meet the requirements of signal processing, and its approximate symmetry is made We can reconstruct signal signals. At the same time, taking into account the UWB signal "more tip" in this, the Lipschitz index of the mutation point is small, so the decomposition scale is not too large. In this use of "SYM6" wavelet, three-layer wavelet decomposition is performed on the unharized UWB signal, Gausson white noise, respectively. The coefficient of wavelet decomposition from each layer is defined according to the definition of the high value, such as Figure 4 , ...

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Abstract

The invention belongs to the technical field of wireless positioning, and relates to a wireless positioning method based on a Wavelet Transform (WT) modulus maximum value. The method mainly comprises the following steps of: performing multi-resolution analysis (MRA) on a signal at a signal preprocessing end; solving modulus maxima of each scale according to the wavelet transform coefficient on each scale; selecting a proper threshold value to process the modulus maximum value, and reserving extreme points greater than or equal to the threshold value; from the highest scale J to the scale 1, searching a propagation point of a modulus maximum value on an adjacent scale, and according to a propagation rule that the modulus extreme values of the signal and the noise are different, retaining the modulus extreme points of the signal and removing the modulus extreme points of the noise; and the processed modulus maximum point is utilized to reconstruct a signal for subsequent conventional positioning operation. According to the method, the signal noise reduction effect can be greatly improved, the signal-to-noise ratio (SNR) is improved, the positioning precision is improved, and convenience is provided for positioning.

Description

Technical field [0001] The present invention relates to a wireless positioning technique, which is a wireless positioning method based on a large value of a wavelet transform. Background technique [0002] IEEE802.15.4A standard based on UWB (Ultra Wide Band, Ultra-wideband) is the first international standard for wireless ranging and positioning. At present, there has been a large progress in UWB wireless positioning research at home and abroad, but because multipath Effect, noise interference and other factors, the positioning accuracy is not ideal, so it is necessary to reduce the noise reduction processing of the received signal. The classic signal noise reduction is mainly based on the frequency domain, such as by the Badwo low-pass filter, separating the useful signals and noise on the frequency domain. However, in the actual situation, the spectrum of the useful signal and the spectrum of the noise often overlap, such as Gaussia white noise, which is almost all over the en...

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Application Information

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IPC IPC(8): H04W4/02G06F17/14
CPCH04W4/02G06F17/148
Inventor 李娟崔学荣张宇毛欣伟及美琪
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)
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