基于golomb优化多点测距的无线定位分析

2014 11th International Symposium on Wireless Communications Systems (ISWCS) Pub Date : 2014-10-23 DOI:10.1109/ISWCS.2014.6933336

Omotayo Oshiga, G. Abreu

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引用次数: 2

摘要

本文分析了利用golomb优化的多点测距在目标和多个接收机之间高效、准确地进行无线定位的问题。我们在[1]中开发的测距算法利用到达相位差(PDoA)将超分辨率技术应用于测距问题。该算法通过采用遗传算法设计的Golomb标尺优化的正交化非均匀采样方案，有效地处理多点测距。最后，对golomb优化后的多点测距和目标定位进行了cram - rao下限(CRLBs)分析，并与仿真结果进行了比较，验证了所提出的技术。

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Analysis of wireless localization with Golomb-optimized multipoint ranging

We analyse the problem of performing wireless localization with Golomb-optimized multipoint ranging between a target and multiple receivers efficiently and accurately. The ranging algorithm we developed in [1] is utilized by adapting superresolution techniques to the ranging problem, using phase-difference of arrival (PDoA). The algorithm handles multipoint ranging efficiently by employing an orthogonalized non-uniform sampling scheme optimized via Golomb rulers designed using the genetic algorithm we presented in [2]. Finally, Cramér-Rao lower bounds (CRLBs) analysis of the Golomb-optimized multipoint ranging and target localization are performed with comparisons against simulation results validating the proposed techniques.

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2014 11th International Symposium on Wireless Communications Systems (ISWCS)

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