研究目的
To propose a novel combined constrained method for adaptive sum and difference beamforming in monopulse angle estimation to improve beamforming and angle estimation performance in multiple interferences environment.
研究成果
The proposed combined constrained adaptive beamforming algorithm in monopulse angle estimation shows significant improvement in output performance and angle estimation over the conventional constrained adaptive monopulse method by optimizing the weights of sum and difference beams jointly.
研究不足
The study does not explicitly mention limitations, but the computational complexity and the need for accurate covariance matrix estimation could be potential challenges.
1:Experimental Design and Method Selection:
The study designs a combined optimization problem to derive adaptive weights of sum and difference beams simultaneously, utilizing linear constraints to maintain beam patterns and monopulse ratio curves.
2:Sample Selection and Data Sources:
A planar array with 5 × 6 elements spaced half a wavelength apart on a rectangular grid is considered, with one target and three interferences impinging on the phased array.
3:List of Experimental Equipment and Materials:
Not explicitly mentioned.
4:Experimental Procedures and Operational Workflow:
The optimization problem is simplified with penalty function method, and the gradient projection method is used to derive the optimal solution.
5:Data Analysis Methods:
The performance is assessed by root-mean-square error (RMSE) obtained from 500 Monte Carlo runs and output signal to interference plus noise ratios (SINRs).
独家科研数据包,助您复现前沿成果,加速创新突破
获取完整内容