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Sensors 2017, 17(9), 2074; https://doi.org/10.3390/s17092074

Underdetermined Blind Source Separation of Synchronous Orthogonal Frequency Hopping Signals Based on Single Source Points Detection

College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
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Received: 14 July 2017 / Revised: 5 September 2017 / Accepted: 6 September 2017 / Published: 11 September 2017
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Abstract

This paper considers the complex-valued mixing matrix estimation and direction-of-arrival (DOA) estimation of synchronous orthogonal frequency hopping (FH) signals in the underdetermined blind source separation (UBSS). A novel mixing matrix estimation algorithm is proposed by detecting single source points (SSPs) where only one source contributes its power. Firstly, the proposed algorithm distinguishes the SSPs by the comparison of the normalized coefficients of time frequency (TF) points, which is more effective than existing detection algorithms. Then, mixing matrix of FH signals can be estimated by the hierarchical clustering method. To sort synchronous orthogonal FH signals, a modified subspace projection method is presented to obtain the DOAs of FH. One superiority of this paper is that the estimation accuracy of the mixing matrix can be significantly improved by the proposed SSPs detection criteria. Another superiority of this paper is that synchronous orthogonal FH signals can be sorted in underdetermined condition. The experimental results demonstrate the efficiency of the two proposed algorithms. View Full-Text
Keywords: underdetermined blind source separation; frequency hopping sgnals; direction-of-arrival; mixing matrix estimation underdetermined blind source separation; frequency hopping sgnals; direction-of-arrival; mixing matrix estimation
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Zhang, C.; Wang, Y.; Jing, F. Underdetermined Blind Source Separation of Synchronous Orthogonal Frequency Hopping Signals Based on Single Source Points Detection. Sensors 2017, 17, 2074.

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