Passive localization method by multiple observers using ambiguous PDOA
2022 International Symposium on Sensing and Instrumentation in 5G and IoT Era (ISSI)(2022)
Abstract
Passive localization by multiple observes using ambiguous phase difference of arrival (PDOA) of the long baseline interferometer (LBI) can greatly reduce the cost and system complexity when applied to the small platform such as the unmanned aerial vehicle (UAV). To solve the nonlinear and discontinuous problem caused by the 2π ambiguity of PDOA, a quantum-behaved particle swarm optimization (QPSO)-based solution is proposed in this paper. The object function is firstly established using wrapped residual of the PDOA. And then the QPSO algorithm is applied to solve the nonlinear and discontinuous optimization problem. Simulation results verify the effectiveness of the proposed method.
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Key words
passive localization,phase difference of arrival,long baseline interferometer,particle swarm optimization
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