ArticleSensors (Basel, Switzerland)2017
Underdetermined Blind Source Separation of Synchronous Orthogonal Frequency Hopping Signals Based on Single Source Points Detection.
Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
- Domain Adaptation-Based Sorting Method for UAV Swarm Targets on Multi-Station Features.Sensors (Basel, Switzerland) · 2026Article
- Blind Source Separation of Intermittent Frequency Hopping Sources over LOS and NLOS Channels.Entropy (Basel, Switzerland) · 2023Article
- DOA Estimation and Self-Calibration under Unknown Mutual Coupling.Sensors (Basel, Switzerland) · 2019Article
- A Regularized Weighted SmoothedSensors (Basel, Switzerland) · 2018Article
- Unsupervised Learning for Monaural Source Separation Using Maximization⁻Minimization Algorithm with Time⁻Frequency Deconvolution.Sensors (Basel, Switzerland) · 2018Article
- Parameter Estimation of Multiple Frequency-Hopping Signals with Two Sensors.Sensors (Basel, Switzerland) · 2018Article
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Authors and funding
3 authors.
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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.
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