Direction of Arrival Estimation Based on the Multistage Nested Wiener Filter
A novel direction of arrival (DOA) estimation technique based on data level and order recursive Multistage Nested Wiener Filters (MSNWF) which is used in adaptive beamforming for subarray signal is proposed in this paper. The two subarrays using the same array geometry are used to form a signal whos...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-02-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2015/634637 |
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| Summary: | A novel direction of arrival (DOA) estimation technique based on data level and order recursive Multistage Nested Wiener Filters (MSNWF) which is used in adaptive beamforming for subarray signal is proposed in this paper. The two subarrays using the same array geometry are used to form a signal whose phase relative to the reference signal is a function of the DOA. The DOA is estimated by calculating the phase-shift between the reference signal and its phase-shifted version. The performance of this DOA estimation technique is significantly improved due to the application of order recursive MSNWF for the rejection of interference signals. The computation of the proposed method is simple, and the number of detectable signal sources could exceed the number of antenna elements. |
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| ISSN: | 1550-1477 |