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Performance Analysis and Improvement of Constrained Adaptive Monopulse Approach
- Source :
- IEEE Signal Processing Letters; 2024, Vol. 31 Issue: 1 p141-145, 5p
- Publication Year :
- 2024
-
Abstract
- Adaptive monopulse algorithm always faces low angle measurement performance in multi-interference environments with low signal-to-noise ratio. To clarify the impact factors, we analyze the performance of monopulse ratio estimation and further derive the Cramer-Rao bound (CRB) for angle estimation. Based on the analysis, a constraint-relaxed adaptive monopulse (RCAM) optimization problem is proposed, and the closed-form solution of the problem is obtained by alternative-direction-method-of-multipliers (ADMM) with fast convergence. Numerical simulations have been provided to demonstrate the effectiveness of the proposed algorithm in improving beamforming and angle estimation.
Details
- Language :
- English
- ISSN :
- 10709908 and 15582361
- Volume :
- 31
- Issue :
- 1
- Database :
- Supplemental Index
- Journal :
- IEEE Signal Processing Letters
- Publication Type :
- Periodical
- Accession number :
- ejs65156385
- Full Text :
- https://doi.org/10.1109/LSP.2023.3344315