A UWB Channel Estimation Method

A channel estimation and ultra-wideband technology, applied in baseband system components and other directions, can solve the problems of high sampling rate, reduce estimation accuracy, increase algorithm complexity, etc., meet the requirements of reducing sampling rate, reduce algorithm complexity, avoid The effect of zero-tap estimation

Active Publication Date: 2019-04-12
ZHENGZHOU LOCARIS ELECTRONICS TECH CO LTD
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AI Technical Summary

Problems solved by technology

These methods not only require extremely high sampling rates, but also usually ignore the sparsity of ultra-wideband channels, resulting in many unnecessary zero-value tap estimates, which increase the complexity of the algorithm and reduce the estimation accuracy.

Method used

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  • A UWB Channel Estimation Method
  • A UWB Channel Estimation Method
  • A UWB Channel Estimation Method

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Embodiment Construction

[0038] The invention relates to a new type of CS reconstruction algorithm, and provides a UWB channel estimation method based on the reconstruction algorithm, which can accurately estimate the UWB channel by under-sampling the received signal under the premise of ensuring the accuracy of the measurement matrix. sparse channel model.

[0039] The applicable signal model of the present invention is: y=Ax+w, wherein x∈R L×1 is a sparse signal vector, y∈R N×1 is the observation vector, A∈R N×L is the observation matrix, w∈R L×1 is the additive white Gaussian noise AWGN vector. The present invention converts the estimation problem of x into solution:

[0040]

[0041] The reconstruction algorithm flow is as follows:

[0042] 1) Initialize Vp, S, λ, x, γ;

[0043] 2) According to the formula Solve for Vq;

[0044] 3) According to the formula solve for q;

[0045] 4) According to the formula Solve for Vx;

[0046] 5) According to formula update x;

[0047] 6) Acc...

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Abstract

The invention discloses an ultra-wideband channel estimation method. The method comprises the steps that A, an ultra-wideband pulse training signal is transmitted, and down-sampling is carried out on a received ultra-wideband signal to acquire observation data; B, based on the transmitted ultra-wideband pulse training signal and a down-sampling rate, an observation matrix is generated; and C, the acquired observation data and observation matrix are used as the input of GAMP reconstruction, and a GAMP reconstruction algorithm is applied to ultra-wideband channel impulse response to give the specific method of the GAMP reconstruction algorithm in ultra-wideband channel estimation. According to the invention, the GAMP reconstruction algorithm can be well applied to ultra-wideband channel estimation; the ADC sampling rate of an ultra-wideband receiving end is greatly reduced; and a great channel estimation performance is acquired at low signal to noise ratio.

Description

technical field [0001] The present invention relates to the technical field of wireless communication, in particular to a method for estimating an ultra-wideband (Ultra Wide-Band, UWB) wireless channel based on a compressed sensing (Compressive Sensing, CS) theory. Background technique [0002] Channel estimation is an important research direction in wireless communication, and the quality of channel estimation directly affects the performance of UWB communication systems. In addition, adaptive modulation and multi-user scheduling of the wireless communication system require the receiving end of the system to know Channel State Information (CSI). The acquisition of CSI also requires channel estimation technology to complete. [0003] In existing narrowband wireless communication systems, channel estimation is already a relatively mature technology, and has been widely used in mobile communication systems. For UWB wireless communication systems, channel estimation is still ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L25/02
Inventor 李冀肖岩张传宗王行业张绘军马琳琳
Owner ZHENGZHOU LOCARIS ELECTRONICS TECH CO LTD
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