Simulation of Various Radar Angle Measurement Methods

The article discusses various angle measurement methods for radar simulation, including Maximum Likelihood Estimation (MLE) and the Monopulse Method. In implementation, MLE typically involves optimizing a likelihood function through iterative algorithms like Newton-Raphson, while monopulse processing requires complex sum and difference channel calculations. Beyond these techniques, other angle measurement approaches can be considered, such as multi-pulse methods, phase comparison techniques, and covariance matrix-based methods. These algorithms enable precise measurement of target azimuth and elevation angles, thereby enhancing the angular measurement performance of radar systems. In radar simulation research, different signal processing algorithms and optimization strategies can be explored to further improve angle measurement accuracy and anti-jamming capabilities. For instance, implementing digital beamforming with phased array antennas or applying Kalman filtering for angle tracking can significantly enhance performance. Ultimately, there are numerous options for angle measurement methods in radar simulation, and the most appropriate technique should be selected based on specific application requirements and system constraints, considering factors like computational complexity, real-time processing needs, and environmental conditions.