Title :
Study on the modeling of ultra-wide band radar echoes based on bispectrum
Author :
Deng, Ge ; Lu, Jun ; Chen, Nuxing ; Lu, Zhongliang
Author_Institution :
Dept. of E.E, Nat. Univ. of Defense Technol., Hunan, China
Abstract :
According to the features of the echoes of the ultra-wide band radar, this paper analyses the estimating effects of choosing the AR model, MA model and ARMA model based on bispectrum. It shows that ARMA. Model is much better than others. Simulations verify this result, also demonstrate the estimation precision has been improved. ARMA model parametric bispectrum estimation is very efficient to echoes of ultra-wide band radar
Keywords :
autoregressive moving average processes; parameter estimation; radar interference; radar theory; spectral analysis; AR model; ARMA model; MA model; bispectrum; estimation; parametric estimation; simulation; ultrawide band radar echoes; Additive noise; Algorithm design and analysis; Computational modeling; Gaussian noise; Information analysis; Parametric statistics; Radar scattering; Resonance; Signal to noise ratio; Ultra wideband radar;
Conference_Titel :
Aerospace and Electronics Conference, 1997. NAECON 1997., Proceedings of the IEEE 1997 National
Conference_Location :
Dayton, OH
Print_ISBN :
0-7803-3725-5
DOI :
10.1109/NAECON.1997.622763
