The comparative performance of two target-classification algorithms relative to the ultimate performance obtainable through comprehensive use of the spectral data base is presently examined through empirical upper-bound calculations for the case of X-band radar signatures of a variety of military vehicles moving in the 5-15 mph range. This analysis indicates that performance does not significantly change when the number of measurements is reduced to 2/3 the initial number. Target classification with the present algorithms is found to be restricted to favorable aspect angles only; the computationally simple algorithm based on the double-Doppler signal is effective in a sector of favorable aspect angles, if the signal is not masked.
Chun S. Yoon, Chun S. Yoon,
"Ground target classification using moving target indicator radar signatures", Proc. SPIE 1470, Data Structures and Target Classification, (1 August 1991); doi: 10.1117/12.44856; https://doi.org/10.1117/12.44856