Research and Application of Optimum Coding STMV Beamformer with Missing Sensors

DOI

10.2991/iiicec-15.2015.367How to use a DOI?

Keywords

Missing sensors; sidelobe suppressions; optimum coding.

Abstract

In this paper, we propose an optimum coding STMV beamformer to improve the performance of suppressing high peak sidelobe level with missing sensors. It considers the choices of sub-array geometry have a significant effect on the performance of STMV method using sub-array (we call it STMV-SA), and the geometry of the original array is described as code, where sub-arrays processing is equivalent to the sub-coding processing. The validity and feasibility of the proposed method is tested by the theory deducingcomputer simulations and real-data processing.

Copyright

© 2015, 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  - Ping Wang
AU  - Ji-wei Tang
PY  - 2015/03
DA  - 2015/03
TI  - Research and Application of Optimum Coding STMV Beamformer with Missing Sensors
BT  - Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference
PB  - Atlantis Press
SP  - 1672
EP  - 1678
SN  - 2352-538X
UR  - https://doi.org/10.2991/iiicec-15.2015.367
DO  - 10.2991/iiicec-15.2015.367
ID  - Wang2015/03
ER  -