- 标题
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SPACE-TIME MATRIX METHOD FOR MIXED NEAR-FIELD AND FAR-FIELD SOURCES LOCALIZATION
摘要： Mixed near-?eld and far-?eld sources localization problem has received signi?cant attention recently in some practical applications, such as speaker localization using microphone arrays and guidance systems, etc. This paper presents a novel space-time matrix method to localize mixed near-?eld and far-?eld sources. Using the proposed method, both the direction-of-arrival (DOA) and range of a source can be estimated by the same eigen-pair of a de?ned space-time matrix. Therefore, the pairing of the estimated angles and ranges is automatically determined. Compared with the previous work, the presented method o?ers a number of advantages over other recently proposed algorithms. For example, it can avoid not only parameters matching problem but also aperture loss problem. It has lower computational complexity since the proposed method does not require the high-order statistics or any parameter search. Simulation results show the performance of the proposed algorithm.
关键词： DOA estimation,range estimation,space-time matrix method,mixed near-?eld and far-?eld sources localization
更新于2025-09-04 15:30:14
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[Institution of Engineering and Technology 12th European Conference on Antennas and Propagation (EuCAP 2018) - London, UK (9-13 April 2018)] 12th European Conference on Antennas and Propagation (EuCAP 2018) - Compressive Sensing Approach to the Synthesis of Sparse Antenna Arrays
摘要： The Compressive Sensing (CS) technique, ?rst introduced in the ?eld of image processing, is nowadays used in many engineering problems. Electromagnetics counts a number of problems which have been solved with a suitable CS-based strategy, such as, for examples, the diagnosis and synthesis of antenna arrays, the estimation of directions of arrival, and the solution of inverse scattering and radar imaging problems. This paper presents an overview of some algorithms based on the CS approach, recently developed by the authors for the synthesis of sparse antenna arrays, also including additional constraints.
关键词： recon?gurable arrays,power pattern synthesis,near-?eld,aperiodic arrays,compressive sensing
更新于2025-09-04 15:30:14