Principles of Modern Radar - Volume 2 1891121537

17.11 Problems 819[52] Gao, Z., Tao, R., Ma, Y., and Shao, T., “DVB-T Signal Cross-Ambiguity Functions Improvementfor Passive Radar,” in Proceedings of the CIE International Conference on Radar,Shanghai, China, October 16–19, 2006.[53] European Telecommunications Standard Institute, “Digital Video Broadcasting (DVB); FramingStructure, Channel Coding and Modulation for Digital Terrestrial Television,” EN 300 744,V1.1.2, 1997.[54] Langellotti, D., Bongioanni, C., Colone, F., and Lombardo, P., “Impact of Synchronizationon the Ambiguity Function Shape for PBR Based on DVB-T Signals,” International RadarSymposium, Vilnius, Lithuania, June 16–18, 2010.[55] Lombardo, P., Colone, F., Bongioanni, C., Lauri, A., and Bucciarelli, T., “PBR Activity atINFOCOM: Adaptive Processing Techniques and Experimental Results,” IEEE Radar Conference,Rome, Italy, May 26–30, 2008.[56] Bongioanni, C., Colone, F., and Lombardo, P., “Performance Analysis of a Multi-FrequencyFM Based Passive Bistatic Radar,” IEEE Radar Conference, Rome, Italy, May 26–30, 2008.[57] Lombardo, P., Colone, F., and Bongioanni, C., “Comparison of Different Approaches for aMulti-Frequency FM Based Passive Bistatic Radar,” in Proceedings of the SET-125 Symposiumon Sensors and Technology for Defence against Terrorism, Mannheim, Germany, April 22–25,2008.[58] Bongioanni, C., Colone, F., Bernardini, S., Lelli, L., Stavolo, A., and Lombardo, P., “PassiveRadar Prototypes for Multifrequency Target Detection,” Signal Processing Symposium,Jachranka, Poland, May 24–26, 2007.[59] Colone, F., De Leo, G., Paglione, P., Bongioanni, C., and Lombardo, P., “Direction of ArrivalEstimation for Multi-Frequency FM-Based Passive Bistatic Radar,” IEEE Radar Conference,Kansas City, MO, May 23–27, 2011.[60] Bongioanni, C., Colone, F., Martelli, T., D’Angeli, R., and Lombardo, P., “Exploiting PolarimetricDiversity to Mitigate the Effect of Interferences in FM-Based Passive Radar,” InternationalRadar Symposium, Vilnius, Germany, September 9–11, 2010.[61] Villano, M., Colone, F., and Lombardo, P., “Adaptive Clutter Suppression in Passive PhasedArray Radar,” International Radar Symposium, Hamburg, Germany, pp. 343–347, September9–11, 2009.[62] Malanowski, M. and Kulpa, K., “Digital Beamforming for Passive Coherent Location Radar,”IEEE Radar Conference, Rome, Italy, May 26–30, 2008.[63] Farina, A., Antenna-Based Signal Processing Techniques for Radar Systems, Artech House,Boston, MA, 1992.17.11 PROBLEMSThe interested reader should accomplish the following problem set in the order givenusing a suitable numerical simulation capability, such as the MATLAB programmingenvironment.1. Based on the discussion in Section 17.2.1, evaluate the computational load requiredby the two efficient algorithms for the 2D-CCF evaluation for a DVB-T based PBR.Assume a signal bandwidth of 8 MHz at a carrier frequency of 500 MHz (UHF band).Take the integration time to be 0.3 s and the maximum bistatic range and velocity tobe 75 km and 400 m/s, respectively. Compare the obtained results and determine themost efficient algorithm to be adopted for the considered application.