A Novel Approach for Angle Measuring Improvement in Monopulse Tracking

This paper presents a novel approach for angle measuring improvement based on Adaptive Moving Target Indicator(AMTI) and Capon algorithm. Rain clutter has a nonzero Doppler shift in spectrum domain. In monopulse radar system, the clutter reduces radar´s tracking ability by means of decreasing the measuring accuracy in Doppler spectrum. The classical Moving Target Indicator (MTI) and Fast Fourier Transform (FFT) method doesn´t meet the exacting tracking needs. In order to suppress rain clutter, we choose the Adaptive MTI for obtaining the best mean Improvement Factor (IF). Moreover, Capon approach is used to enhance the measuring accuracy in this article. Compared with the classical MTI and FFT, the AMTI and Capon based algorithm shows better resolution quality. Then it improves the angle measuring precision. Numerical simulation experiments prove the validity of the new method.