MATLAB Simulation of Monopulse Radar Angle Measurement Methods under Active Jamming

Analysis of active jamming effects on monopulse radar angle measurement accuracy Monopulse radar angle measurement technology is a critical component in modern radar systems, primarily achieving high-precision angle measurement through phase-comparison and amplitude-comparison methods. However, in practical applications, active jamming significantly degrades its angular measurement performance, including coherent two-point sources, non-coherent two-point sources, and non-coherent multi-point source jamming types. The fundamental principle of phase-comparison and amplitude-comparison methods involves calculating target angles using the sum-difference beam ratio of echo signals. The phase-comparison method relies on phase differences between two beams, while the amplitude-comparison method utilizes amplitude ratios for angle measurement. These methods perform excellently in high signal-to-noise ratio environments but may exhibit measurement deviations or complete failure under strong jamming conditions. Active jamming impacts angle measurement primarily through: Coherent two-point source jamming: Jamming signals maintain fixed phase relationships with target signals, potentially generating false peaks in the measurement system causing radar misjudgment of target angles. Non-coherent two-point source jamming: Random-phase jamming signals may cause measurement results to exhibit jitter or bias. Non-coherent multi-point source jamming: Multiple simultaneous jamming sources can amplify measurement errors, leading to angle estimation failure. In practical MATLAB simulations, developers can observe measurement performance trends by adjusting jamming parameters such as jamming power, jamming source spacing, and signal correlation. Implementation typically involves modeling antenna patterns using array factor calculations, processing sum and difference channels through complex signal operations, and incorporating interference models using phased arrays or custom signal generation functions. Optimization of anti-jamming algorithms like adaptive beamforming (implementable using MATLAB's Phased Array System Toolbox) can significantly enhance monopulse radar angle measurement accuracy in complex electromagnetic environments. Key functions may include digital beamforming techniques, covariance matrix estimation for interference suppression, and maximum likelihood estimators for improved angle tracking.