Abstract
Considering the problems of dwell scheduling in multifunction phased array radar systems, an adaptive dwell scheduling algorithm is proposed for dense tracking. Based on a maximal pulse interleaving technique, the whole scheduling process of the adaptive dwell fully exploits the spare-times between the pulse transmitting and receiving to allocate new tracking tasks. In this way, the capacity of the system could be highly improved. The pulse interleaving technique in algorithm is achieved through the introduction of an interleaving degree variable, which records the interleaving state of all the tasks. The effectiveness of the algorithm is verified through experiments in a real radar simulation system and the results demonstrate the proposed approach significantly improves the overall capacity of a multifunction phased array radar system.
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Zhang, G.-y.; Phased array radar system[M]. National defense industry press, Arlington, pp. 29–35, 137–139 (2001)
Shih, C.-S.; Ganti, P.; Gopalakrishnan, S.; Caccamo, M.; Sha, L.: Synthesizing task periods for dwells in multi-function phased array radars[C]. In: Proceeding of the IEEE Radar Conference, pp. 145–150 (2004)
Tang, T.; He, Z.; Cheng, T.: A template-based adaptive radar dwell scheduling algorithm [J]. Signal Process. 26(7) (2010)
Chen, J.; Tian, Z.; Wang, L., et al.: Adaptive simultaneous multi-beam dwell scheduling algorithm for multifunction phased array radars [J]. J. Inf. Comput. Sci., 3051–3061 (2011)
Chi-Sheng, S.; Gopalakrishnan, S.; Ganti, P.; Caccamo, M.; Sha, L.: Scheduling real-time dwells using tasks with synthetic periods [C]. In: 24th IEEE Real-Time Systems Symposium, pp. 210–219 (2003)
Kang P., Lee C.: Search and track coordination in multi-ship multi-radar systems using schedulability envelope[C]. Real-Time Syst. 36(3), 227–262 (2004)
Wintenby, J.; Krishnamurthy, V.: Hierarchical resource management in adaptive airborne surveillance radars [J]. IEEE Trans. Aerospace Electron. Syst. 42(2) (2006)
Winter, E.; Lupinski, L.: On scheduling the dwells of a multifunction radar[C]. IEEE Int. Conf. Radar (2006)
Moo, P.W.: Scheduling for multifunction radar via two-slope benefit functions. Radar[J]. Sonar Navig. IET. 884–894 (2011)
Krishnamurthy, V.: Fellow, IEEE, and Dejan V. Djonin. Optimal threshold policies for multivariate POMDPs in radar resource management[J]. IEEE Trans. Signal Process. 57(10) (2009)
Miranda, S.L.C.; Baker, C.J.; Woodbridge, K.; Griffiths, H.D.: Fuzzy logic approach for prioritisation of radar tasks and sectors of surveillance in multifunction radar [J]. Radar Sonar Navig. IET. 1(2) (2007)
Mir, H.; Ben Abdelaziz, F.: Scheduling of tasks with fuzzy dwell times in a multifunction radar[C]. In: Second International Conference On Engineering Systems Management and Its Applications (ICESMA), 30 March 2010–1 April, pp. 1–6 (2010)
Cheng, T.; He, Z.S.; Tang T.: Novel radar dwell scheduling algorithm based on pulse interleaving[J]. J. Syst. Eng. Electron. 20(2), 247 (2009)
Cheng, T.; He, Z.S.; Li, H.: An adaptive dwell scheduling algorithm for digital array radar[J]. Acta Electronica Sinica. 37(9) (2009)
Moustafa E., Hanif D., Sherali G.J., Cole S.: Radar pulse interleaving for multi-target tracking [J]. Naval Res. Logist. 51(1), 72–94 (2004)
Kim, Y.; Krainin, M.; Lesser, V.: Effective variants of the max-sum algorithm for radar coordination and scheduling[C]. In: 2011 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), pp. 357–364 (2011)
Baugh, R.A.: Computer Control of Modem Radars [J], pp. 49–51. RCA Corporation, New York (1973)
La Scala, B.F.; Moran, W.; Evans, R.J.: Optimal adaptive waveform selection for target detection [C]. In: Proceedings of the International Radar Conference, pp. 492–496 (2003)
Alabaster C.M., Hughes E.J., Matthew J.H.: Medium PRF radar PRF selection using evolutionary algorithms[J]. IEEE Trans. Aerospace Electron. Syst. 39, 990–1001 (2003)
Chen, H.; Deng, P.; Xu, Y.; Li, X.: A novel localization scheme based on RSS data for wireless sensor networks[J]. In: International Workshop on Sensor Networks, LNCS, vol. 3842, pp. 315–320 (2006)
Shi Q., He C., Chen H., Jiang L.: Distributed wireless sensor network localization via sequential greedy optimization algorithm [J]. IEEE Trans. Signal Process. 58(6), 3328–3340 (2010)
Chen, H.; Martins, M.H.T.; Huang, P.; So, H.C.; Sezaki, K.: Cooperative node localization for mobile sensor networks [C]. In: 2008 International Conference On Embedded and Ubiquitous Computing (EUC 2008), vol. I, pp. 302–308, Shanghai, China (2008)
Martins, M.H.T.; Chen, H.; Sezaki, K.: OTMCL: Orientation Tracking-based Monte Carlo Localization for Mobile Sensor Networks[C]. Six International Conference on Networked Sensing Systems (INSS), USA (2009)
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Jie, C., Lei, W., Wei, Z. et al. Multifunction Phased Radar Resource Management via Maximal Pulse Interleaving Technique. Arab J Sci Eng 38, 3081–3091 (2013). https://doi.org/10.1007/s13369-013-0617-y
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DOI: https://doi.org/10.1007/s13369-013-0617-y