Frequency hopping radar signals blind separation using tensor analysis in time domain

Zhang, Chaozhu; Wang, Yu

doi:10.1109/ropaces.2016.7465374

Cited by 5 publications

(1 citation statement)

References 6 publications

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“…Frequency hopping (FH) signals have been widely used in wireless communications and radar systems due to their low probability of detection and interception [ 1 , 2 , 3 , 4 , 5 ]. To obtain useful information in communication reconnaissance field, it is an important task to sort multiple FH signals.…”

Section: Introductionmentioning

confidence: 99%

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

Zhang

Wang

Jing

2017

Sensors

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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.

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