@inproceedings{6f36953364304fc8b09843685b691c9d,
title = "The research methodology of AR spectrum estimation to stepped-frequency signal processing",
abstract = "This paper uses modern spectrum setimation to process stepped-frequency signals which have extracted to obtain high resolution range profile. This paper use FPE criteria and AIC criteria to estimate the order of AR model, and linear prediction is used to test the performance of AR model. Compared with conventional IFFT processing, the results of spectrum estimation is satisfactory, and the exact location of high resolution range profile is determined.",
keywords = "AR model, High range resolution, Stepped-frequency, Target extract",
author = "Jian Bai and Wei Zhang and Houjun Sun",
year = "2013",
doi = "10.4028/www.scientific.net/AMM.313-314.1243",
language = "English",
isbn = "9783037856840",
series = "Applied Mechanics and Materials",
pages = "1243--1246",
booktitle = "Machinery Electronics and Control Engineering II",
note = "2012 2nd International Conference on Machinery Electronics and Control Engineering, ICMECE 2012 ; Conference date: 29-12-2012 Through 30-12-2012",
}