A simple approach of range-based positioning with low computational complexity

  1. Lookup NU author(s)
  2. Dr Shouhong Zhu
  3. Dr Zhiguo Ding
Author(s) Ding Z; Zhu S
Publication type Article
JournalIEEE Transactions on Wireless Communications
ISSN (print)1536-1276
ISSN (electronic)1558-2248
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
For range based positioning the least square (LS) criterion and its produced solution exhibit superb estimation performance, but generally at a very high computational complexity. In this letter we consider the issue how to approach such LS solution in estimation performance at low computational complexity. We propose a novel algorithm that is based on the equations linearized from range measurement equations and implements a weighted least square criterion in a computationally efficient way. The proposed algorithm involves a quadratic equation linking the linearization-caused extra variable and the position to be estimated, thus results in a closed form solution.We analyze and simulate its estimation performance, and evidently show that the proposed algorithm can very closely approach the LS solution in estimation performance at a significantly low computational complexity.
Actions    Link to this publication

Altmetrics provided by Altmetric