ScholarLens Back to search
2018•Proceedings of the Satellite Division's International Technical Meeting (Online)/Proceedings of the Satellite Division's International Technical Meeting (CD-ROM)Requires access

Sequential Iterative Cramer-Rao Bound Containing NLOS Signal in Cooperative Localization

Siming Li, Guangxia Li, Jing Lv, Weiheng Dai, Shiwei Tian, Shiwei Tian, Qian Meng

Open publisher page 1 citations

Abstract

Cramer-Rao Lower Bound (CRLB) has been extensively utilized for wireless location network for its concision and closed form property. In this paper, a generally analytical method and a sequential iterative CRLB (I-CRLB) is proposed and derived for multi-node collaborative scenario with consideration of NLOS distance measurements. According to positively biased property, NLOS range error is fitted by real measurements data, and modeled as Gamma distribution. Based on Gamma distribution, the I-CRLB is obtained by the joint probability of the measurements and system states. This bound is iteratively calculated by chain rules and presents the theoretical accuracy limit of any position estimators under NLOS environments.

About this research paper

What this paper is about

Cramer-Rao Lower Bound (CRLB) has been extensively utilized for wireless location network for its concision and closed form property. In this paper, a generally analytical method and a sequential iterative CRLB (I-CRLB) is proposed and derived for multi-node collaborative scenario with consideration of NLOS distance measurements. According to positively biased property, NLOS range error is fitted by real measurements data, and modeled as Gamma distribution. Based on Gamma distribution, the I-CRLB is obtained by the joint probability of the measurements and system states. This bound is iteratively calculated by chain rules and presents the theoretical accuracy limit of any position estimators under NLOS environments.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Cramer-Rao Lower Bound (CRLB) has been extensively utilized for wireless location network for its concision and closed form property. In this paper, a generally analytical method and a sequential iterative CRLB (I-CRLB) is proposed and derived for multi-node collaborative scenario with consideration of NLOS distance measurements. According to positively biased property, NLOS range error is fitted by real measurements data, and modeled as Gamma distribution. Based on Gamma distribution, the I-CRLB is obtained by the joint probability of the measurements and system states. This bound is iteratively calculated by chain rules and presents the theoretical accuracy limit of any position estimators under NLOS environments.

Key concepts: Cramér–Rao bound, Non-line-of-sight propagation, Upper and lower bounds, Estimator, Algorithm, Position (finance), Computer science, Estimation theory

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
Sequential Iterative Cramer-Rao Bound Containing NLOS Signal in Cooperative Localization — Research Paper | ScholarLens