The Research Methodology of AR Spectrum Estimation to Stepped-Frequency Signal Processing

Author:

Bai Jian1,Zhang Wei1,Sun Hou Jun1

Affiliation:

1. Beijing Institute of Technology

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.

Publisher

Trans Tech Publications, Ltd.

Reference5 articles.

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3. Kim Kyung Tae, Bae Ji Hoon, Seo Dong2Kyu, et al. Study of the Experimental Performance of AR-Based Data Extrapolation Algorithms for High Resolution Radar Imaging, [J]. Microwave and Optical Technology Letters, 31 (2): 1512156. ( 2001).

4. William steedly, Development and Analysis of Parametric Exponential Mdeling Techniques with Application to Radar Signal Processing, Ph. D thesis, The Ohio State University, (1992).

5. Robert DeWall, Pete Kosir, and Richard A. Mtchell, Advanced techniques for training ultra high range resolution target identification system, in Combat Identification Systems Conference, (1994).

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