|
|
A New Time-Shift Invariant Feature of Radar HRRPs |
Liu Jing①; Zhang Jun-ying①②; Zhao Feng①③ |
①School of Computer Science and Engineering, Xidian University, Xi’an 710071, China;②National Key Lab of Radar Signal Processing, Xidian University, Xi’an 710071, China;
③School of Science, Jinan University, Jinan 250012, China |
|
|
Abstract Radar High-Resolution Range Profile (HRRP) is very sensitive to time-shift; therefore, HRRP-based Radar Automatic Target Recognition (RATR) requires efficient time-shift invariant features. A new time-shift invariant feature, i.e., amplitude spectrum difference of HRRP, is extracted from HRRP to solve the time-shift sensitivity. The result of theoretical analysis shows that, as a time-shift invariant feature, amplitude spectrum difference is more suitable for HRRP-based RATR than amplitude spectrum is. Shortest distance classifier and Support Vector Machine (SVM) classifier are designed to evaluate the recognition performance. Experimental results for measured data show that, comparing with amplitude spectrum, amplitude spectrum difference improves recognition performance remarkably.
|
Received: 05 January 2007
|
|
|
|
|
|
|
|