Title :
Modeling of multirate signal in radar target recognition
Author :
Yong-Xiang, Liu ; Xiang, Li ; Zhao-wen, Zhuang
Author_Institution :
ATR Key Lab., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
Considering the uncertain for rotating velocity of spatial target and period of radar observation, there exists sampling rate variance between radar returns and template data, which decreases the degree of matching. In this paper, the autoregressive moving average (ARMA) model in multirate is provided, through which the power spectral density (PSD) of radar turns can be developed in the scale of template data, and then data can be matched in the same scale. Experimental result shows the validity of proposed method.
Keywords :
autoregressive moving average processes; modelling; radar target recognition; signal processing; ARMA model; autoregressive moving average model; degree of matching; multirate signal modeling; power spectral density; radar observation period; radar target recognition; sampling rate variance; spatial target rotating velocity; template data; Autoregressive processes; Finite impulse response filter; Frequency; Interpolation; Missiles; Polynomials; Radar cross section; Sampling methods; Signal processing; Target recognition;
Conference_Titel :
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
0-7803-7702-8
DOI :
10.1109/ICNNSP.2003.1281187
