• Tidak ada hasil yang ditemukan

Array radar resource management Alexander Charlish* and Fotios Katsilieris*

3.5 Summary

cost radar time budget and are not so effective in the presence of time corre- lated clutter.

Tracking function:Revisit intervals and waveforms for targets maintained with active tracking can be selected with rules and heuristics; however, this approach is wasteful of radar resources. Alternatively, the revisit interval can be selected to ensure that the target does not manoeuvre out of the radar beam, and the dwell length can be selected so that a specified SNR is achieved based on an estimate of the target’s RCS. Consequently, the revisit interval and dwell time vary depending on target manoeuvres and range. In addition, the intra- pulse waveform modulation can be selected to complement the existing information on the target in the tracker.

The influence of many of these radar control parameters have been considered previously in radar system design; however, the benefit with ESA radar is that the radar resource manager can vary these control parameters during operation in response to operational requirements and the encountered scenario. These ESA resource management methods are extended in Vol. II, Chapter 5 ‘Cognitive radar management’, where optimization methods such as quality-of-service optimization and stochastic control are applied.

Glossary

CRLB Crame´r–Rao lower bound DTF desired time first

EDF earliest deadline first ESA electronically steered array ETF earliest time first

FM frequency modulation IMM interacting multiple model PRF pulse repetition frequency PRI pulse repetition interval RCS radar cross section SNR signal-to-noise ratio TWS track-while-scan/search References

[1] W. K. Stafford, ‘Real time control of a multifunction electronically scanned adaptive radar (MESAR),’ inIEE Colloquium on Real-Time Management of Adaptive Radar Systems, London, UK, 1990, pp. 1–7.

[2] S. Musick and R. Malhotra, ‘Chasing the elusive sensor manager,’ inIEEE National Aerospace and Electronics Conference, Dayton, OH, USA, 1994, pp. 606–613.

[3] S. Miranda, C. J. Baker, K. Woodbridge, and H. Griffiths, ‘Knowledge- based resource management for multifunction radar: a look at scheduling and task prioritization,’ IEEE Signal Processing Magazine, vol. 23, no. 1, pp. 66–76, 2006.

[4] F. Barbaresco, J. C. Deltour, G. Desodt, B. Durand, T. Guenais, and C. Labreuche, ‘Intelligent M3R radar time resources management: Advanced cognition, agility & autonomy capabilities,’ in SEE International Radar Conference (RADAR 2009), Bordeaux, France, 2009, pp. 1–6.

[5] B. Dawber and B. Wallace, ‘The advanced radar technology integrated system testbed (ARTIST) and the need for cognitive radar management and control,’ in Defence Applications of Signal Processing (DASP), Coolum, Australia, 2011.

[6] W. H. Von Aulock, ‘Properties of phased arrays,’Proceedings of the IRE, vol. 48, no. 10, pp. 1715–1727, 1960.

[7] E. R. Billam, ‘Parameter optimisation in phased array radar,’ inIET Inter- national Radar Conference, Brighton, UK, 1992, pp. 34–37.

[8] G. V. Trunk, J. D. Wilson, and P. K. Hughes, ‘Phased array parameter optimization for low-altitude targets,’ in IEEE International Radar Conference, Alexandria, VA, USA, May 1995, pp. 196–200.

[9] S. Blackman and R. Popoli, Design and Analysis of Modern Tracking Systems. Dedham, MA: Artech House, 1999.

[10] P. Hahn and S. Gross, ‘Beam shape loss and surveillance optimization for pencil beam arrays,’ IEEE Transactions on Aerospace and Electronic Systems, vol. AES-5, no. 4, pp. 674–675, Jul. 1969.

[11] J. D. Mallett and L. E. Brennan, ‘Cumulative probability of detection for targets approaching a uniformly scanning search radar,’Proceedings of the IEEE, vol. 51, no. 4, pp. 596–601, 1963.

[12] I. Rusnak, ‘Search radar evaluation by the normalized cumulative probability of detection curves,’ IEEE Transactions on Aerospace and Electronic Sys- tems, vol. AES-22, no. 4, pp. 461–465, Jul. 1986.

[13] R. Wiley,ELINT: The Interception and Analysis of Radar Signals. Norwood, MA: Artech House, 2006.

[14] C. Alabaster,Pulse Doppler Radar: Principles, Technology, Applications.

Edison, NJ: SciTech Publishing, 2012.

[15] J. W. Yi and Y. J. Byun, ‘Real-time PRF selection for medium PRF air- borne pulsed-Doppler radars in tracking phase,’ in 2007 IEEE Interna- tional Waveform Diversity and Design Conference, Pisa, Italy, 2007, pp.

116–121.

[16] P. Davies and E. Hughes, ‘Medium PRF set selection using evolutionary algorithms,’ IEEE Transactions on Aerospace and Electronic Systems, vol. 38, no. 3, pp. 933–939, 2002.

[17] C. Alabaster, E. Hughes, and J. Matthew, ‘Medium PRF radar PRF selection using evolutionary algorithms,’ IEEE Transactions on Aerospace and Electronic Systems, vol. 39, no. 3, pp. 990–1001, Jul. 2003.

[18] F. Hoffmann and A. B. Charlish, ‘A resource allocation model for the radar search function,’ in SEE International Radar Conference, Lille, France, 2014, pp. 1–6.

[19] A. B. Charlish, K. Woodbridge, and H. Griffiths, ‘Agent based multifunction radar surveillance control,’ inIEEE Radar Conference (RadarConf), Kansas City, MO, USA, 2011, pp. 824–829.

[20] F. Barbaresco, ‘Radar resources optimization by adaptive search domains priority assignment based on most threatening trajectories computation,’ in IET Seminar on Intelligent Sensor Management, Quebec, Que., Canada, May 2007, pp. 1–10.

[21] F. Katsilieris, Y. Boers, and H. Driessen, ‘Optimal search: a practical interpretation of information-driven sensor management,’ in 5th Inter- national Conference on Information Fusion, Singapore, July 2012, pp. 439–446.

[22] K. White, J. Williams, and P. Hoffensetz, ‘Radar sensor management for detection and tracking,’ in 11th International Conference on Information Fusion, Cologne, Germany, 2008, pp. 1–8.

[23] J. Williams, ‘Search theory approaches to radar resource allocation,’

in Defense Applications of Signal Processing (DASP), Coolum, Australia, July 2011.

[24] F. Katsilieris, A. B. Charlish, and Y. Boers, ‘Towards an online, adaptive algorithm for radar surveillance control,’ in Workshop on Sensor Data Fusion: Trends, Solutions, Applications. Bonn, Germany: IEEE, 2012, pp. 66–71.

[25] R. A. Dana and D. Moraitis, ‘Probability of detecting a Swerling I target on two correlated observations,’ IEEE Transactions on Aerospace and Electronic Systems, vol. 17, no. 5, pp. 727–730, 1981.

[26] G. van Keuk and S. S. Blackman, ‘On phased-array radar tracking and parameter control,’ IEEE Transactions on Aerospace and Electronic Systems, vol. 29, no. 1, pp. 186–194, 1993.

[27] W. H. Gilson, ‘Minimum power requirements of tracking,’ inIEEE Inter- national Radar Conference, Arlington, VA, USA, May 1990, pp. 417–421.

[28] X. R. Li and V. P. Jilkov, ‘Survey of maneuvering target tracking. Part I.

Dynamic models,’IEEE Transactions on Aerospace and Electronic Systems, vol. 39, no. 4, pp. 1333–1364, Oct. 2003.

[29] D. K. Barton,Radar Systems Analysis and Modelling. Dedham, MA: Artech House, 2004.

[30] A. B. Charlish, ‘Autonomous agents for multi-function radar resource management,’ Ph.D. thesis, University College London, Nov. 2011.

[31] T. Kirubarajan, Y. Bar-Shalom, W. D. Blair, and G. A. Watson, ‘IMMPDAF for radar management and tracking benchmark with ECM,’IEEE Transac- tions on Aerospace and Electronic Systems, vol. 34, no. 4, pp. 1115–1134, Oct. 1998.

[32] Y. Bar-Shalom, X. Rong Li, and T. Kirubarajan,Estimation with Applications to Tracking and Navigation: Theory Algorithms and Software. Wiley, 2001.

[33] C. Yang, L. Kaplan, and E. Blasch, ‘Performance measures of covariance and information matrices in resource management for target state estima- tion,’ IEEE Transactions on Aerospace and Electronic Systems, vol. 48, no. 3, pp. 2594–2613, 2012.

[34] H. A. P. Blom and Y. Bar-Shalom, ‘The interacting multiple model algo- rithm for systems with Markovian switching coefficients,’ IEEE Transac- tions on Automatic Control, vol. 33, no. 8, pp. 780–783, 1988.

[35] W. D. Blair, G. A. Watson, S. A. Hoffman, and G. L. Gentry, ‘Benchmark problem for beam pointing control of phased array radar against maneuver- ing targets,’ inAmerican Control Conference, vol. 4, Baltimore, MD, USA, 1994, pp. 2071–2075.

[36] W. D. Blair, G. A. Watson, T. Kirubarajan, and Y. Bar-Shalom, ‘Benchmark for radar allocation and tracking in ECM,’IEEE Transactions on Aerospace and Electronic Systems, vol. 34, no. 4, pp. 1097–1114, 1998.

[37] W. Koch, ‘Adaptive parameter control for phased-array tracking,’ inSPIE Signal and Data Processing of Small Targets, Denver, CO, USA, Oct. 1999, pp. 444–455.

[38] S. S. Blackman, R. J. Dempster, M. T. Busch, and R. F. Popoli, ‘IMM/MHT solution to radar benchmark tracking problem,’ IEEE Transactions on Aerospace and Electronic Systems, vol. 35, no. 2, pp. 730–738, 1999.

[39] R. F. Popoli, S. S. Blackman, and M. T. Busch, ‘Application of multiple- hypothesis tracking to agile beam radar tracking,’ inSPIE Signal and Data Processing of Small Targets, Orlando, FL, USA, May 1996, pp. 418–428.

[40] J. H. Zwaga, Y. Boers, and H. Driessen, ‘On tracking performance constrained MFR parameter control,’ in 6th International Conference of Information Fusion, Cairns, Australia, July 2003, pp. 712–718.

[41] J. H. Zwaga and H. Driessen, ‘Tracking performance constrained MFR parameter control: applying constraints on prediction accuracy,’ in 8th International Conference on Information Fusion, Philadelphia, PA, USA, July 2005, pp. 546–551.

[42] Y. Boers, H. Driessen, and J. Zwaga, ‘Adaptive MFR parameter control:

fixed against variable probabilities of detection,’ IET Radar, Sonar and Navigation, vol. 153, no. 1, pp. 2–6, 2006.

[43] D. J. Kershaw and R. J. Evans, ‘Optimal waveform selection for tracking systems,’IEEE Transaction on Information Theory, vol. 40, no. 5, pp. 1536–

1550, 1994.

[44] D. J. Kershaw and R. J. Evans, ‘Waveform selective probabilistic data association,’ IEEE Transactions on Aerospace and Electronic Systems, vol. 33, no. 4, pp. 1180–1188, 1997.

[45] H. Van Trees, Detection, Estimation, and Modulation Theory, Part III.

Wiley, 2001.

[46] W. Moran, S. Suvorova, and S. Howard,Application of Sensor Scheduling Concepts to Radar. Springer, 2008, pp. 221–256.

[47] S. P. Sira, A. Papandreou-Suppappola, and D. Morrell, ‘Dynamic config- uration of time-varying waveforms for agile sensing and tracking in clutter,’

IEEE Transactions on Signal Processing, vol. 55, no. 7, pp. 3207–

3217, 2007.

[48] C. O. Savage and B. Moran, ‘Waveform selection for maneuvering targets within an IMM framework,’IEEE Transactions on Aerospace and Electro- nic Systems, vol. 43, no. 3, pp. 1205–1214, Jul. 2007.

[49] M. R. Bell, ‘Information theory and radar waveform design,’IEEE Trans- actions on Information Theory, vol. 39, pp. 1578–1597, 1993.

[50] A. O. Hero, D. A. Castanon, D. Cochran, and K. D. Kastella, ‘Information theoretic approaches to sensor Management,’ inFoundations and Applica- tions of Sensor Management. Springer US, 2008, pp. 33–57.

[51] E. H. Aoki, A. Bagchi, P. Mandal, and Y. Boers, ‘A theoretical look at information-driven sensor management criteria,’ in14th International Con- ference on Information Fusion, Chicago, IL, USA, 2011, pp. 1–8.

[52] E. H. Aoki, A. Bagchi, P. Mandal, and Y. Boers, ‘On the ‘‘near-universal proxy’’ argument for theoretical justification of information-driven sensor management,’ in IEEE Statistical Signal Processing Workshop, Nice, France, 2011, pp. 245–248.

[53] J. M. Aughenbaugh and B. R. L. Cour, ‘Metric selection for information theoretic sensor management,’ in 11th International Conference on Infor- mation Fusion, Cologne, Germany, June 2008, pp. 1–8.

[54] D. Cochran, S. Suvorova, S. Howard, and B. Moran, ‘Waveform libraries,’

IEEE Signal Processing Magazine, vol. 26, no. 1, pp. 12–21, 2009.

[55] S. P. Sira, Y. Li, A. Papandreou-Suppappola, D. Morrell, D. Cochran, and M. Rangaswamy, ‘Waveform-agile sensing for tracking,’IEEE Signal Pro- cessing Magazine, vol. 26, no. 1, pp. 53–64, 2009.

[56] A. Charlish, ‘A case study of target visibility using ambiguous MPRF measurement data,’ in IET International Conference on Radar Systems (Radar 2012), Glasgow, UK, Oct. 2012, pp. 1–6.

[57] F. Katsilieris, Y. Boers, and H. Driessen, ‘Sensor management for PRF selection in the track-before-detect context,’ in IEEE Radar Conference (RadarConf ), Atlanta, GA, USA, 2012.

[58] J. Bae and N. Goodman, ‘Adaptive PRF selection technique for multiple targets in track-before-detect,’ in 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Saint Martin, French West Indies, France, 2013, pp. 448–451.

[59] J. M. Butler, ‘Tracking and control in multi-function radar,’ Ph.D. Thesis, University College London, 1998.

[60] A. G. Huizing and A. A. F. Bloemen, ‘An efficient scheduling algorithm for a multifunction radar,’ inIEEE International Symposium on Phased Array Systems and Technology. Boston, MA, USA: IEEE, 1996, pp. 359–364.

[61] B. Gillespie, E. Hughes, and M. Lewis, ‘Scan scheduling of multi-function phased array radars using heuristic techniques,’ inIEEE Radar Conference, Arlington, VA, USA, May 2005, pp. 513–518.

[62] A. J. Orman, C. N. Potts, A. K. Shahani, and A. R. Moore, ‘Scheduling for a multifunction phased array radar system,’European Journal of Operational Research, vol. 90, no. 1, pp. 13–25, 1996.

[63] A. Nelander and D. Stromberg, ‘Energy management in multiple-beam phased array radars,’ in IET International Radar Conference, Edinburgh, UK, 1997, pp. 553–557.

[64] A. P. Stoffel, ‘Heuristic energy management for active array multifunction radars,’ inIEEE National Telesystems Conference, San Diego, May 1994, pp. 71–74.

[65] M. T. Vine, ‘Fuzzy logic in radar resource management,’ in IEE Multi- function Radar and Sonar Sensor Management Techniques. Stevenage: IET, 2001.

[66] S. L. C. Miranda, C. J. Baker, K. Woodbridge, and H. D. Griffiths, ‘Com- parison of scheduling algorithms for multifunction radar,’IET Radar, Sonar &

Navigation, vol. 1, no. 6, pp. 414–424, 2007.

[67] S. L. C. Miranda, ‘Resource management in multifunction array radar,’

Ph.D. dissertation, University College London, 2004.

[68] S. L. C. Miranda, C. J. Baker, K. Woodbridge, and H. D. Griffiths, ‘Fuzzy logic approach for prioritisation of radar tasks and sectors of surveillance in multifunction radar,’ IET Radar, Sonar & Navigation, vol. 1, no. 2, pp. 131–141, 2007.

[69] E. Winter and L. Lupinski, ‘On scheduling the dwells of a multifunction radar,’ in2006 CIE International Conference on Radar, China, Oct. 2006, pp. 1–4.

[70] E. Winter and P. Baptiste, ‘On scheduling a multifunction radar,’

Aerospace Science and Technology, vol. 11, no. 4, pp. 289–294, 2007.

[71] P. Moo, ‘Scheduling for multifunction radar via two-slope benefit functions,’ IET Radar, Sonar & Navigation, vol. 5, no. 8, pp. 884–894, Oct. 2011.

Part II

Dalam dokumen Novel Radar Techniques and Applications (Halaman 192-200)