Koliji, Afshin, Ghobadi, Changiz, Nourinia, Javad, Mostafapour, Ehsan. (1404). Distributed Target Tracking Based on the One-bit RLS Algorithm over Mobile Satellite Networks. , 12(1), -. doi: 10.22070/jce.2026.21036.1290
Afshin Koliji; Changiz Ghobadi; Javad Nourinia; Ehsan Mostafapour. "Distributed Target Tracking Based on the One-bit RLS Algorithm over Mobile Satellite Networks". , 12, 1, 1404, -. doi: 10.22070/jce.2026.21036.1290
Koliji, Afshin, Ghobadi, Changiz, Nourinia, Javad, Mostafapour, Ehsan. (1404). 'Distributed Target Tracking Based on the One-bit RLS Algorithm over Mobile Satellite Networks', , 12(1), pp. -. doi: 10.22070/jce.2026.21036.1290
Koliji, Afshin, Ghobadi, Changiz, Nourinia, Javad, Mostafapour, Ehsan. Distributed Target Tracking Based on the One-bit RLS Algorithm over Mobile Satellite Networks. , 1404; 12(1): -. doi: 10.22070/jce.2026.21036.1290

Distributed Target Tracking Based on the One-bit RLS Algorithm over Mobile Satellite Networks

Journal of Communication Engineering
مقاله 8، دوره 12، شماره 1 - شماره پیاپی 24، فروردین 2026
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22070/jce.2026.21036.1290
نویسندگان
Afshin Koliji* ؛ Changiz Ghobadi؛ Javad Nourinia؛ Ehsan Mostafapour
Urmia University
چکیده
diffusion networks for localization in satellite target tracking applications. It provides a comprehensive convergence analysis for the Mobile DQA-RLS (MDQA-RLS) algorithm, considering various quantization levels and the corresponding convergence conditions. The simulation results confirm the potential for convergence in the MDQA-RLS network and demonstrate that the power consumption of this method is highly suitable for satellite localization tasks. Additionally, the observed convergence degradation remains within reasonable limits when compared to the mobile DRLS (MDRLS) algorithm, which does not account for quantization. Comprehensive convergence analyses are conducted across various quantization levels, and the specific conditions under which the Mobile MDQA-RLS algorithm converges are thoroughly outlined. Simulation experiments confirm the convergence capability of the MDQA-RLS-based network and indicate that its power efficiency is well-suited for satellite target tracking scenarios. Additionally, the observed degradation in convergence performance is within acceptable limits when compared to the Mobile DRLS (MDRLS) algorithm, which lacks quantization awareness. The findings further illustrate that as signal quantization resolution decreases, the advantages of MDQA-RLS over MDRLS become significantly more pronounced.
کلیدواژه‌ها
Mobile diffusion network؛ quantization aware recursive least squares algorithm؛ localization؛ satellite network؛ convergence analysis
آمار
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