Proceedings Article10.1109/ICDSP.2018.8631837
A New Direct Position Determination Algorithm using Multiple Arrays
Guohua Wang,Caicai Gao,Sirajudeen Gulam Razul,Chong Meng Samson See +3 more
- 01 Nov 2018
- pp 1-5
7
TL;DR: The number of targets is easier to be estimated and the localization accuracy is much higher in the presence of time synchronization error among arrays, as compared with the existing DPD algorithm.
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Abstract: This paper proposes a new direct position determination (DPD) algorithm using multiple antenna arrays. In this method, the positions of emitters are estimated directly based on the cross-correlation matrix (CCM), which is obtained from the signals received at different arrays. As compared to conventional approaches based on direction of arrival and time difference of arrival, this method does not require beamforming and direction of arrival estimation. Meanwhile, the number of target can be located is not limited by the number of antenna element at each array. In particular, as compared with the existing DPD algorithm, the number of targets is easier to be estimated and the localization accuracy is much higher in the presence of time synchronization error among arrays. Numerical results are presented to illustrate the effectiveness of the proposed algorithm.
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Citations
Single Far-Field or Near-Field Source Localization With Sparse or Uniform Cross Array
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TL;DR: Simulation results validate that the proposed LS-type localizers outperform existing localizers in wireless sensor networks with AOA ranging measurements.
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Performance Bounds for Displaced Sensor Automotive Radar Imaging
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A Frequency Domain Direct Localization Method Based on Distributed Antenna Sensing
TL;DR: In this article, a direct position determination (DPD) method is proposed to improve the positioning accuracy and robustness, which is based on a correlation algorithm, and the cost function directly related to the location of the source can be established by synthesizing the data received by multiantenna in the frequency domain.
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