The direct position determination (DPD) problem is studied by employing modified polar representation (MPR) in the context of wireless sensor arrays. MPR serves to alleviate the range threshold effect detected by the Cartesian-based hybrid Bhattacharyya–Barankin (HBB) bound. Nevertheless, the conventional MPR-based two-step method encounters performance degradation in low signal-to-noise ratio regions. To address this challenge, an MPR-based DPD framework is introduced. First, we propose a MPR-based maximum likelihood estimator employing Gauss–Newton iteration. Second, the stability of the estimator is affirmed through its MPR-based HBB bound. Simulation results demonstrate that the proposed method delivers precise bearing estimates, irrespective of the source's proximity.
Modified Polar Localization in Wireless Sensor Array Networks
IEEE Transactions on Aerospace and Electronic Systems ; 61 , 4 ; 10839-10846
2025-08-01
678635 byte
Article (Journal)
Electronic Resource
English
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