Study of the performance of different alignment methods in pattern recognition

In this paper the alignment of noisy signals using different methods is studied. The methods studied in this paper are the Maximum Position method, the Cross-correlation method and the Zero Phase method. In order to evaluate the performance of the alignment methods, a database of high range resolution radar profiles containing patterns belonging to six different targets has been used, and the classification error using the k-Nearest Neighbor method is calculated. Results show the best performance of the Maximum Position method, in terms of error rate.