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Underdetermined Mixing Matrix Estimation Based on Single Source Detection

Authors: Liangjun Zhang; Zhou Ye; Yang Zhang; Shuguang Li; Jingxiao Li; Wei Jiang;

Underdetermined Mixing Matrix Estimation Based on Single Source Detection

Abstract

In this paper, a new underdetermined mixing matrix estimation method for Blind Source Separation (BSS) from linear time delay mixture is developed based on Single-Source Point (SSP) detection. Firstly, prior knowledge of linear time delay mixtures are extracted with the help of receive antennas, and then the rule is derived to determine the SSPs. After selecting the SSPs, clustering method is applied for clustering, and estimates all the elements of mixing matrix. The proposed method can be used to estimate the Direct of Arrival (DOA) and signal extraction, which can be used in radar array signal processing areas. Simulation results reveal that the proposed method can estimate the mixing model with higher accuracy and better performance when SNR is low and number of sources is large, which is more reliable in the real non-cooperative environments.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Average
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