Research Article
Implementation of Direction Finding Processor Based on the Novel DOA Estimation with Channel Mismatch Self-calibration
@INPROCEEDINGS{10.1007/978-3-319-73317-3_62, author={Yan Zou and Ping Chu and Xiaoyu Lan}, title={Implementation of Direction Finding Processor Based on the Novel DOA Estimation with Channel Mismatch Self-calibration}, proceedings={Advanced Hybrid Information Processing. First International Conference, ADHIP 2017, Harbin, China, July 17--18, 2017, Proceedings}, proceedings_a={ADHIP}, year={2018}, month={2}, keywords={Direction of arrival Direction finding system Array calibration Self-calibration Multiple signal classification algorithm}, doi={10.1007/978-3-319-73317-3_62} }- Yan Zou
Ping Chu
Xiaoyu Lan
Year: 2018
Implementation of Direction Finding Processor Based on the Novel DOA Estimation with Channel Mismatch Self-calibration
ADHIP
Springer
DOI: 10.1007/978-3-319-73317-3_62
Abstract
In order to solve the problem that the channel gain-phase mismatch would deteriorate the performance of direction of arrival (DOA) estimation in actual direction finding (DF) system, a novel efficient gain-phase calibration algorithm based on the self-checking signal is proposed in this paper. By injecting a self-checking signal into the actual DF system, the whole calibration process could divide into the off-line pre-calibration and the auto-calibration part. Thus, it could realize the real-time auto-calibration efficiently during the DOA estimation process. Moreover, in order to verify the effectiveness of the proposed method, a practical DF signal processor based on the FPGA and DSP is implemented in this paper, and the experiments are carried out in the anechoic chamber. The experiment result shows that the proposed method could calibrate the gain-phase mismatch in real-time and have higher DOA estimation accuracy.