Linear Prediction and Maximum Entropy Spectral Analysis for Radar Applications.

摘要

For most applications in radar data processing, the Fourier transform performs satisfactorily. However, other methods of spectral analysis can offer some advantages when a data set is too short for a Fourier transform to resolve or detect important spectral features. This report describes one alternative technique, maximum entropy spectral analysis (MESA), and suggests possible radar applications including range-Doppler sizing and the coherent measurement of range rate. Practical examples demonstrate an improvement in velocity resolution and cross-range resolution. Computer codes are listed that calculate MESA power spectra for a real or complex discrete time series. (Author)