A Fast Distributed Direct Postion Determination Algorithm Based on Delay and Doppler

DOI

10.2991/caai-17.2017.65How to use a DOI?

Keywords

DPD; matrix norm; time-frequency difference; cross Ambiguity Function (CAF)

Abstract

In the moving sensor network, the direct positioning method (DPD) can greatly improve the positioning performance of the system, but it also brings the problem of high computational complexity and poor stability of the algorithm. In this paper, a distributed fast DPD algorithm based on time-frequency difference is proposed. The complex large-scale matrix operation and the maximal eigenvalue solution in the original DPD algorithm are replaced by the cross ambiguity function (CAF) and the matrix norm respectively. An effective distributed computing method is designed to make full use of the sensor network Of the computation resources. The simulation results show that the proposed method can greatly simplify the computational complexity, improve the stability of the algorithm , while the location performance is equivalent to the original DPD algorithm.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhuo Qiu
PY  - 2017/06
DA  - 2017/06
TI  - A Fast Distributed Direct Postion Determination Algorithm Based on Delay and Doppler
BT  - Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
PB  - Atlantis Press
SP  - 289
EP  - 292
SN  - 1951-6851
UR  - https://doi.org/10.2991/caai-17.2017.65
DO  - 10.2991/caai-17.2017.65
ID  - Qiu2017/06
ER  -