Vol. 3
Latest Volume
All Volumes
PIERB 109 [2024] PIERB 108 [2024] PIERB 107 [2024] PIERB 106 [2024] PIERB 105 [2024] PIERB 104 [2024] PIERB 103 [2023] PIERB 102 [2023] PIERB 101 [2023] PIERB 100 [2023] PIERB 99 [2023] PIERB 98 [2023] PIERB 97 [2022] PIERB 96 [2022] PIERB 95 [2022] PIERB 94 [2021] PIERB 93 [2021] PIERB 92 [2021] PIERB 91 [2021] PIERB 90 [2021] PIERB 89 [2020] PIERB 88 [2020] PIERB 87 [2020] PIERB 86 [2020] PIERB 85 [2019] PIERB 84 [2019] PIERB 83 [2019] PIERB 82 [2018] PIERB 81 [2018] PIERB 80 [2018] PIERB 79 [2017] PIERB 78 [2017] PIERB 77 [2017] PIERB 76 [2017] PIERB 75 [2017] PIERB 74 [2017] PIERB 73 [2017] PIERB 72 [2017] PIERB 71 [2016] PIERB 70 [2016] PIERB 69 [2016] PIERB 68 [2016] PIERB 67 [2016] PIERB 66 [2016] PIERB 65 [2016] PIERB 64 [2015] PIERB 63 [2015] PIERB 62 [2015] PIERB 61 [2014] PIERB 60 [2014] PIERB 59 [2014] PIERB 58 [2014] PIERB 57 [2014] PIERB 56 [2013] PIERB 55 [2013] PIERB 54 [2013] PIERB 53 [2013] PIERB 52 [2013] PIERB 51 [2013] PIERB 50 [2013] PIERB 49 [2013] PIERB 48 [2013] PIERB 47 [2013] PIERB 46 [2013] PIERB 45 [2012] PIERB 44 [2012] PIERB 43 [2012] PIERB 42 [2012] PIERB 41 [2012] PIERB 40 [2012] PIERB 39 [2012] PIERB 38 [2012] PIERB 37 [2012] PIERB 36 [2012] PIERB 35 [2011] PIERB 34 [2011] PIERB 33 [2011] PIERB 32 [2011] PIERB 31 [2011] PIERB 30 [2011] PIERB 29 [2011] PIERB 28 [2011] PIERB 27 [2011] PIERB 26 [2010] PIERB 25 [2010] PIERB 24 [2010] PIERB 23 [2010] PIERB 22 [2010] PIERB 21 [2010] PIERB 20 [2010] PIERB 19 [2010] PIERB 18 [2009] PIERB 17 [2009] PIERB 16 [2009] PIERB 15 [2009] PIERB 14 [2009] PIERB 13 [2009] PIERB 12 [2009] PIERB 11 [2009] PIERB 10 [2008] PIERB 9 [2008] PIERB 8 [2008] PIERB 7 [2008] PIERB 6 [2008] PIERB 5 [2008] PIERB 4 [2008] PIERB 3 [2008] PIERB 2 [2008] PIERB 1 [2008]
2008-01-05
Autofocus Algorithms Performance Evaluations Using an Integrated SAR Product Simulator and Processor
By
Progress In Electromagnetics Research B, Vol. 3, 315-329, 2008
Abstract
The design and development of synthetic aperture radar (SAR) system for a particular application often requires redesign of software and hardware to optimize the system performance. In addition, evaluations of the performance of existing autofocus and image formation algorithms are required for the SAR system designers to select a most suitable algorithm for a given image quality requirements. This is a time-consuming taskwithout a reconfigurable and comprehensive software package. Thus, a comprehensive SAR integrated simulator and processor software is needed to aid the system designers in optimizing all the system parameters and performance. This paper presents an integrated SAR simulator and processor (iSARSIMP) software package and the performance of three selected SAR autofocus algorithms has been evaluated as examples to demonstrate the usefulness of the iSARSIMP for SAR system designers. In the performance evaluation, simulated and actual SAR raw data were used for further analysis and comparison of the three selected autofocus algorithms.
Citation
Tien Sze Lim, Chee Siong Lim, Voon Koo, Hong-Tat Ewe, and Hean-Teik Chuah, "Autofocus Algorithms Performance Evaluations Using an Integrated SAR Product Simulator and Processor," Progress In Electromagnetics Research B, Vol. 3, 315-329, 2008.
doi:10.2528/PIERB07122101
References

1. Koo, V. C., C. S. Lim, and Y. K. Chan, "iSIM --- An integrated SAR product simulator for system designers and researchers," Journal of Electromagnetic Waves and Applications, Vol. 21, No. 3, 313-328, 2007.
doi:10.1163/156939307779367422

2. Holtzman, J. C., V. S. Frost, J. L. Abott, and V. H. Kaupp, "Radar image simulation," IEEE Trans. Geosci. Remote Sensing, Vol. 16, No. 4, 296-303, 1978.

3. CEOS Working Group on Data, , Synthetic aperture radar data product format standards, CEOS-SAR-CCT, Issue/Rev: 2/0, 1989.

4. Cumming, I. G. and F. H. Wong, Digital Processing of Synthetic Aperture Radar Data, Artech House Inc., 2005.

5. Lim, T. S., V. C. Koo, H. T. Ewe, and H. T. Chuah, "A SAR autofocus algorithm based on particle swarm optimization," Progress In Electromagnetics Research B, Vol. 1, 159-176, 2008.
doi:10.2528/PIERB07102501

6. Lim, T. S., V. C. Koo, H. T. Ewe, and H. T. Chuah, "High-frequency phase error reduction in SAR using particle swarm optimization," Journal of Electromagnetic Waves and Applications, Vol. 21, No. 6, 795-810, 2007.
doi:10.1163/156939307780749110

7. Eichel, P. H. and C. V. Jakowatz, "Phase gradient algorithm as an optimal estimator of the phase derivative," Optics Letters, Vol. 14, No. 20, 1101-1103, 1989.

8. Eichel, P. H., D. C. Ghiglia, and C. V. Jr. Jakowatz, "Speckle processing method for synthetic aperture radar phase correction," Optics Letters, Vol. 14, 1101-1103, 1989.

9. Koo, V. C., Y. K. Chan, and H. T. Chuah, "A new autofocus based on sub-aperture approach," Journal of Electromagnetic Waves and Applications, Vol. 19, No. 11, 1547-1561, 2005.
doi:10.1163/156939305775701912

10. Kennedy, J. and R. C. Eberhart, "Particle swarm optimization," Proc. IEEE International Conference on Neural Networks, Vol. 4, 1942-1948, 1995.
doi:10.1109/ICNN.1995.488968

10. Nikhil, P. R. and P. K. Sankar, "Entropy: A new definition and its applications," IEEE Trans. on System, Man and Cybernetics, Vol. 21, No. 5, 1260-1270, 1991.
doi:10.1109/21.120079