Journal
IEEE SIGNAL PROCESSING LETTERS
Volume 29, Issue -, Pages 742-746Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LSP.2022.3154686
Keywords
Signal processing algorithms; Maximum likelihood estimation; Reflection coefficient; Mathematical models; Signal to noise ratio; Reflection; Phase estimation; Elevation angle estimation; beamspace processing; multipath environment; search free
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Funding
- Fund for Foreign Scholars in University Research and Teaching Programs through the 111 Project [B18039]
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This letter discusses the problem of estimating the elevation angle in a scene with a direct and reflected signal. The proposed solution uses beamspace processing to reduce computational burden and accurately estimate the target's elevation angle without searching within 3D beamspace data.
This letter discusses the elevation angle estimation problem for a scene containing a direct and a reflected signal. Beamspace processing is an excellent candidate to reduce the computational burden of elevation angle estimation without affecting the multipath phase that contains the reflection coefficient phase and the phase difference between the direct and the reflected signals. In addition, the multipath phase is a function of the target elevation angle. With these considerations, we solve the multipath phase problem without searching within 3D beamspace data and therefore obtain the target elevation angle with a very low computational burden. Under the same prior information, the proposed algorithm manages an estimation accuracy similar to the ones requiring a search under the condition of a certain signal-to-noise ratio. Our evaluation results demonstrate the suitability of the proposed algorithm for engineering applications.
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