Ubiquitous MIMO radar energy integration detection based on range synthesis

During such long-term time, the problem of target range-walk, Doppler-slide, beam-crossing must be considered, in the processing of the ubiquitous multiple-input multiple-output (MIMO) radar energy integration detection. Commonly, keystone transform is adopted for the completion of the migration compensation, and then the integration is finally carried out by motion target detection or joint time-frequency analysis, the result of energy integration is limited to the migration compensation. An improved long-term energy integration method is proposed, it makes use of range synthesis for avoiding the processing of the migration compensation. The effectiveness of new method is conformed by the simulation results.

[1]  Luís B. Almeida,et al.  The fractional Fourier transform and time-frequency representations , 1994, IEEE Trans. Signal Process..

[2]  Wang Ju An Improved Coherent Integration Detector with Adaptive Wavelet Transform , 1999 .

[3]  W. D. Wirth Long term coherent integration for a floodlight radar , 1995, Proceedings International Radar Conference.

[4]  Zhang Shun-sheng Multiple Targets’ Detection at the Low SNR Level Based on Keystone Transform , 2008 .

[5]  Xing Meng Dynamic ISAR Imaging of Maneuvering Target Based on Multicomponent AM-LFM Signal Parameter Estimation , 2000 .

[6]  Sun De-bao,et al.  Energy Concentration Detection of LFM Signal by Fractional Fourier Transform , 2004 .

[7]  Kuldip K. Paliwal,et al.  ON THE PERFORMANCE OF BURG'S METHOD OF MAXIMUM ENTROPY SPECTRAL ANALYSIS WHEN APPLIED TO VOICED SPEECH , 1982 .

[8]  Steve McLaughlin,et al.  Fractional Fourier transform techniques applied to active sonar , 2003, Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492).

[9]  Nudt Changsha,et al.  Detection Algorithm Research of High Velocity Moving Target Based on the Envelope Interpolation , 2004 .

[10]  Sergio Barbarossa,et al.  Analysis of multicomponent LFM signals by a combined Wigner-Hough transform , 1995, IEEE Trans. Signal Process..

[11]  D. J. Rabideau,et al.  Ubiquitous MIMO multifunction digital array radar , 2003, The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003.

[12]  J.J. Alter,et al.  Ubiquitous radar: an implementation concept , 2004, Proceedings of the 2004 IEEE Radar Conference (IEEE Cat. No.04CH37509).