Target Localization Using Quantized Observations in Delay-Sensitive Networks

被引：0

作者：

Zhao, Na ^{[1
]}

Chang, Qing ^{[1
]}

Shen, Xiao ^{[2
,3
]}

Wang, Yunlong ^{[2
,3
]}

Shen, Yuan ^{[2
,3
]}

机构：

[1] Beihang Univ, Sch Elect & Informat Engn, Beijing 100191, Peoples R China

[2] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China

[3] Tsinghua Univ, Tsinghua Natl Lab Informat Sci & Technol, Beijing 100084, Peoples R China

来源：

IEEE COMMUNICATIONS LETTERS | 2024年 / 28卷 / 03期

关键词：

Target localization; delay-sensitive; Fisher information analysis; quantization; FUNDAMENTAL LIMITS; TRACKING;

D O I：

10.1109/LCOMM.2023.3349297

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

Precise target localization is pivotal in beyond 5G and 6G networks, particularly in location-aware vertical applications. In this letter, we investigate the performance limits for target localization using quantized observations via Fisher information analysis. To account for data transmission delays between agents and the fusion center, we derive the posterior Cramer-Rao bound for target localization in delay-sensitive scenarios and unveil the bidirectional effects of bit-depth on localization accuracy. Then, a bit allocation algorithm is proposed to balance the limited communication resources over the network. Finally, the simulation results validate our theoretical analysis and the effectiveness of the proposed bit allocation algorithm.

引用

页码：533 / 536

页数：4

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