{"title":"Highly Accurate Target Motion Compensation Using Entropy Function Minimization","authors":"Amin Aghatabar Roodbary, Mohammad Hassan Bastani","volume":140,"journal":"International Journal of Electronics and Communication Engineering","pagesStart":573,"pagesEnd":578,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/10009431","abstract":"
One of the defects of stepped frequency radar systems
\r\nis their sensitivity to target motion. In such systems, target motion
\r\ncauses range cell shift, false peaks, Signal to Noise Ratio (SNR)
\r\nreduction and range profile spreading because of power spectrum
\r\ninterference of each range cell in adjacent range cells which induces
\r\ndistortion in High Resolution Range Profile (HRRP) and disrupt target
\r\nrecognition process. Thus Target Motion Parameters (TMPs) effects
\r\ncompensation should be employed. In this paper, such a method
\r\nfor estimating TMPs (velocity and acceleration) and consequently
\r\neliminating or suppressing the unwanted effects on HRRP based on
\r\nentropy minimization has been proposed. This method is carried out
\r\nin two major steps: in the first step, a discrete search method has
\r\nbeen utilized over the whole acceleration-velocity lattice network, in a
\r\nspecific interval seeking to find a less-accurate minimum point of the
\r\nentropy function. Then in the second step, a 1-D search over velocity
\r\nis done in locus of the minimum for several constant acceleration
\r\nlines, in order to enhance the accuracy of the minimum point found
\r\nin the first step. The provided simulation results demonstrate the
\r\neffectiveness of the proposed method.<\/p>\r\n","references":"[1] R. Zhang, X. Z. Wei and X. Li, \u201dThe resolution of high resolution range\r\nprofile for two ideal point targets,\u201d 2012 IEEE International Conference\r\non Information Science and Technology, Hubei, 2012, pp. 397-400.\r\n[2] G. Sree Lakshmi, M. Sivasankar, S. Nandakumar \u201dPerformance Analysis\r\nof High Resolution Range Profile,\u201d 9th International Radar Symposium\r\nIndia, 2013.\r\n[3] Hang-yong Chen, Yong-xiang Liu, Wei-dong Jiang and Gui-rong Guo,\r\n\u201dA new approach for synthesizing the range profile of moving targets via\r\nstepped-frequency waveforms,\u201d in IEEE Geoscience and Remote Sensing\r\nLetters, vol. 3, no. 3, pp. 406-409, July 2006.\r\n[4] E. Tilli and F. Prodi, \u201dUse of HRR data for target acceleration estimation:\r\nA simple but effective approach,\u201d 2008 European Radar Conference,\r\nAmsterdam, 2008, pp. 224-227.\r\n[5] K. T. Kim, \u201dFocusing of high range resolution profiles of moving targets\r\nusing stepped frequency waveforms,\u201d in IET Radar, Sonar and Navigation,\r\nvol. 4, no. 4, pp. 564-575, August 2010.\r\n[6] B. Hu, L. Zhang, Z. Song and X. Zeng, \u201dMotion compensation for high\r\nrange resolution profile based on stepped-frequency waveforms,\u201d 2016\r\n11th International Symposium on Antennas, Propagation and EM Theory\r\n(ISAPE), Guilin, 2016, pp. 850-853.\r\n[7] H. R. Jeong, H. T. Kim and K. T. Kim, \u201dApplication of Subarray\r\nAveraging and Entropy Minimization Algorithm to Stepped-Frequency\r\nISAR Autofocus,\u201d in IEEE Transactions on Antennas and Propagation,\r\nvol. 56, no. 4, pp. 1144-1154, April 2008.\r\n[8] H. y. Chen, Y. x. Liu, X. Li and G. r. Guo, \u201dMathematics of Synthesizing\r\nRange Profile,\u201d in IEEE Transactions on Signal Processing, vol. 55, no.\r\n5, pp. 1950-1955, May 2007.\r\n[9] Wehner D. R.: High-resolution radar (Artech House,Norwood, MA,\r\n1995).","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 140, 2018"}