Micro-Motions signatures analysis and extraction

Micro-Doppler features can be regarded as a unique signature of an object with movements which provide additional information for classification, recognition and identification of the object. The common analysis method of Micro-Motion is time-frequency transform. However, the three-dimensional signatures of time-frequency distribution are not convenient to store and distinguish targets. The paper puts forward a general formula to match the signatures of time-frequency which will make the signatures reduce from three-dimensional to two-dimensional. Simulation study show the method is efficient for typical Micro-Motions such as vibration, wobbling, rotation, coning.