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Multipath parameter estimation method for real value parallel factoring

A technology of parallel factorization and multipath parameters, applied in location information-based services, electrical components, wireless communication, etc., can solve the problem of poor estimation accuracy, achieve optimal estimation performance, low computational complexity, and good application prospects

Active Publication Date: 2018-03-13
YANGTZE UNIVERSITY
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AI Technical Summary

Problems solved by technology

Although its computational complexity is small, its estimation accuracy will be significantly worse than that of the PARAFAC algorithm

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Embodiment Construction

[0016] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention and are not intended to limit the invention.

[0017] The present invention provides a method for estimating multipath parameters of real-valued parallel factorization. The method for estimating multipath parameters of real-valued parallel factorization includes the following steps:

[0018] S1. Construct an oversampling matrix of the received data, and construct a PARAFAC model of the oversampling matrix array data according to the oversampling matrix;

[0019] S2. Process the PARAFAC model of the oversampled matrix array data by using the forward and backward smoothing technique and the unitary transformation technique, and const...

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Abstract

The invention discloses a multipath parameter estimation method for real value parallel factoring. The method comprises the steps that a PARAFAC model of array data is constructed; received data is processed through a front-and-back smoothing technology and a unitary transformation technology to construct an augmented output PARAFAC model of the array; estimation of a related guidance vector is achieved by alternatively conducting a least square algorithm; and angle and delay parameters of a source signal are recovered by means of the rotation-invariant feature of the array. Only a real arithmetic is involved when least squares is conducted alternatively through the proposed algorithm, and therefore compared with an existing complex algorithm, the algorithm has the advantages that the computing complexity is lower, the better estimation performance can be achieved when the signal to noise ratio is low or the snapshot number is small, the estimated angle and delay parameters can be paired automatically, coherent source scenes are effectively responded, singular value decomposition or spectral peak searching operation does not need to be conducted on the received data, and the algorithm has a good application prospect in actual wireless communication scenes.

Description

technical field [0001] The invention relates to an array signal processing technology, in particular to a method for estimating multipath parameters by real-valued parallel factorization. Background technique [0002] With the continuous success and development of the mobile communication field, the market demand for source location technology has become increasingly strong, which has aroused extensive interest of scholars at home and abroad. Source location technology is the basic technology of many wireless communication applications, such as wireless positioning, radar detection, intelligent transportation and biomedicine. Wireless positioning technology often involves the estimation of parameters such as joint frequency, angle and delay. The present invention mainly discusses joint angle and delay estimation (JADE). Typical JADE algorithms mainly include multiple signal classification (MUSIC) algorithm, weighted subspace fitting (weighted subspace fitting, WSF) algorith...

Claims

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Application Information

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IPC IPC(8): H04W4/02H04W64/00
CPCH04W4/02H04W64/00
Inventor 文方青张磊李飞涛盛冠群
Owner YANGTZE UNIVERSITY
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