Research Article
Direction of Arrival Estimation of Spread Spectrum Signal
@INPROCEEDINGS{10.1007/978-3-030-44751-9_50, author={Hongwei Zhao and Zichun Zhang}, title={Direction of Arrival Estimation of Spread Spectrum Signal}, proceedings={IoT as a Service. 5th EAI International Conference, IoTaaS 2019, Xi’an, China, November 16-17, 2019, Proceedings}, proceedings_a={IOTAAS}, year={2020}, month={6}, keywords={Spread spectrum signal DOA ISM CSM}, doi={10.1007/978-3-030-44751-9_50} }- Hongwei Zhao
Zichun Zhang
Year: 2020
Direction of Arrival Estimation of Spread Spectrum Signal
IOTAAS
Springer
DOI: 10.1007/978-3-030-44751-9_50
Abstract
The sensor networking based on multi-source information fusion can significantly improve direction accuracy, and the sensor networking is always used in direction of spread spectrum signals. Aimed at eliminating the phase ambiguity of the phase-comparison method, this paper proposed a direction-finding method based on ISM (Incoherent Signal Subspace Method) and CSM (Coherent Signal Subspace Method) algorithms. Firstly, the wideband spread spectrum signal is divided into narrowband at different time points. Then perform the DCT (Discrete Cosine Transform) and obtain the covariance matrix at different frequency points. Finally, the narrowband signal power spectrums at independent frequency points are synthesized to obtain the total power spectrum of spread spectrum signal. The simulation results demonstrate that the ISM and CSM algorithms can accurately determine the direction of the spread spectrum signal, and the direction error is kept within 1° when the signal-to-noise ratio (SNR) is higher than 5 dB, which satisfy the accurate direction-finding requirement. Therefore, the ISM and CSM algorithms based on sensor networking is a necessary solution in high-precision direction of spread spectrum signals.