Micro-Range/Micro-Doppler Feature Extraction and Association

Recently, the use of micro-Doppler radar signatures for classification has become an area of focus, in particular for the case of dynamic targets where many components are interacting over time. To fully exploit the signature information, individual scattering centers may be extracted and associated over the full target observation. Furthermore, given the volume of data typically collected, the scattering features will need to be extracted and associated efficiently through an automated algorithm. The availability of ultra-fine resolution or micro-range resolution, aids this process immensely. This paper proposes one such algorithm and demonstrates its effectiveness by applying the algorithm to measured micro-range and micro-Doppler data.(1 2)