Study of Range Migration Compensation Method Based on Linear Regression

Article Preview

Abstract:

For Long-Term energy integration detection, we must conduct echo envelope compensation to correct all targets echo to the same range bin, through MTD or joint Time-Frequency transform complete energy accumulation. Keystone transform is an effective method for range migration compensation, but this algorithm is large amount of calculation against Real-Time processing. We present a method for range migration compensation based on analysis of linear regression, it makes use of the curve fitting for the processing of the migration compensation. We compare the two methods of computational efficiency, linear regression algorithm has better Real-Time process performance, and the effectiveness is conformed by the simulation results.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 403-408)

Pages:

2216-2220

Citation:

Online since:

November 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Bar Barossa S, Analysis of Multiform LFM signals by a combined Wigner-Hough transform, IEEE Trans on SP, 1995, 33(5): 1201-12-7.

Google Scholar

[2] L.B. Almeida, The Fractional Fourier transform and time-Frequency representation, IEEE Trans. Signal Processing, 1994, 42(10): 3084-3091.

DOI: 10.1109/78.330368

Google Scholar

[3] WANG Jun and ZHANG Shouhong, An Improved Coherent Integration Detection with Adaptive Wavelet Transform, Acta Electronica Sinics, china, 2000, 28.

Google Scholar

[12] 57-60, 56.

Google Scholar

[4] Zhang S S, Zeng T. Dim Target Detection Based on Keystone Transform [C]/Proceeding of IEEE Radar Conference, [s. l. ]: [s. n. ]2005: 889-894.

DOI: 10.1109/radar.2005.1435953

Google Scholar

[5] Perry R P, Dipietro R C, Fante R L. Coherent Integration with Range Migration Using Keystone Formatting [C] /Proceeding of IEEE Radar Conference, Boston, MA: [s. n. ], 2007: 863-868.

DOI: 10.1109/radar.2007.374333

Google Scholar

[6] CHEN Yuanzheng and ZHU Yongfeng, Detection Algorithm Research of High Velocity Moving Target Based On the Envelop Interpolation, Signal Processing, China, 2004, 04.

Google Scholar

[8] 59-62.

Google Scholar

[7] WANG Jun and ZHANG Shouhong. Study on the Motion Compensation of Range Migration for Weak Moving Target Detection, Acta Electronica Sinics, China, 2000, 28.

Google Scholar

[12] 57-60+56.

Google Scholar