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.
Original language | English |
---|---|
Title of host publication | Machinery Electronics and Control Engineering II |
Pages | 1243-1246 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 2013 |
Event | 2012 2nd International Conference on Machinery Electronics and Control Engineering, ICMECE 2012 - Jinan, Shandong, China Duration: 29 Dec 2012 → 30 Dec 2012 |
Publication series
Name | Applied Mechanics and Materials |
---|---|
Volume | 313-314 |
ISSN (Print) | 1660-9336 |
ISSN (Electronic) | 1662-7482 |
Conference
Conference | 2012 2nd International Conference on Machinery Electronics and Control Engineering, ICMECE 2012 |
---|---|
Country/Territory | China |
City | Jinan, Shandong |
Period | 29/12/12 → 30/12/12 |
Keywords
- AR model
- High range resolution
- Stepped-frequency
- Target extract
Fingerprint
Dive into the research topics of 'The research methodology of AR spectrum estimation to stepped-frequency signal processing'. Together they form a unique fingerprint.Cite this
Bai, J., Zhang, W., & Sun, H. (2013). The research methodology of AR spectrum estimation to stepped-frequency signal processing. In Machinery Electronics and Control Engineering II (pp. 1243-1246). (Applied Mechanics and Materials; Vol. 313-314). https://doi.org/10.4028/www.scientific.net/AMM.313-314.1243