LEADER 04503nam 2200637Ia 450 001 9911006514203321 005 20200520144314.0 010 $a1-62198-325-0 010 $a1-283-63788-X 010 $a1-84919-266-9 035 $a(CKB)2670000000246832 035 $a(EBL)1032198 035 $a(SSID)ssj0001140977 035 $a(PQKBManifestationID)11638598 035 $a(PQKBTitleCode)TC0001140977 035 $a(PQKBWorkID)11223870 035 $a(PQKB)10427312 035 $a(MiAaPQ)EBC1032198 035 $a(PPN)165324147 035 $a(EXLCZ)992670000000246832 100 $a20101222d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aWaveform design and diversity for advanced radar systems /$fedited by Fulvio Gini, Antonio De Maio and Lee Patton 210 $aLondon, U.K. $cInstitution of Engineering and Technology$d2012 215 $a1 online resource (573 p.) 225 1 $aIET radar, sonar and navigation series ;$v22 300 $aDescription based upon print version of record. 311 $a1-84919-265-0 320 $aIncludes bibliographical references and index. 327 $aContents; Waveform diversity: a way forward to the future of the radar - A. De Maio, A. Farina, F. Gini, L. Patton and M.Wicks; 1. Classical radar waveform design - Nadav Levanon; 2. Information theory and radar waveform design - Mark R. Bell and Mir Hamza Mahmood; 3. Multistatic ambiguity function and sensor placement strategies - Ivan Bradaric, Gerard T. Capraro and Michael C.Wicks; 4. MIMO radar waveform design - Ming Xue, Jian Li and Petre Stoica; 5. Passive bistatic radar waveforms - Hugh D. Griffiths and Chris J. Baker 327 $a6. Biologically inspired waveform diversity - Chris J. Baker, Hugh D. Griffiths and Alessio Balleri7. Continuous waveforms for automotive radar systems - Hermann Rohling and Matthias Kronauge; 8. Multistatic and waveform-diverse radar pulse compression - Shannon D. Blunt, Thomas Higgins, Aaron K. Shackelford and Karl Gerlach; 9. Optimal channel selection in a multistatic radar system - M.S. Greco, P. Stinco, F. Gini, A. Farina and M. Rangaswamy; 10. Waveform design for non-cooperative radar networks - Antonio De Maio, Silvio De Nicola, Alfonso Farina and Michael C. Wicks 327 $a11. Waveform design based on phase conjugation and time reversal - Lucio Bellomo, Marc Saillard, Se?bastien Pioch, Fre?de?ric Barbaresco and Marc Lesturgie12. Space-time diversity for active antenna systems - J.-P. Guyvarch, L. Savy and F. Le Chevalier; 13. Autocorrelation constraints in radar waveform optimization for detection - Lee K. Patton and Brian D. Rigling; 14. Adaptive waveform design for radar target classification - Nathan A. Goodman 327 $a15. Adaptive waveform design for tracking - Antonia Papandreou-Suppappola, Jason Jun Zhang, Bhavana Chakraborty, Ying Li, Darryl Morrell and Sandeep P. Sira16. Adaptive polarization design for target detection and tracking - Martin Hurtado, Sandeep Gogineni and Arye Nehorai; 17. Knowledge-aided transmit signal and receive filter design in signal-dependent clutter - A. Aubry, A. De Maio, A. Farina and M.Wicks; Notation; Index 330 $aIn recent years, various algorithms for radar signal design, that rely heavily upon complicated processing and/or antenna architectures, have been suggested. These techniques owe their genesis to several factors, including revolutionary technological advances (new flexible waveform generators, high speed signal processing hardware, digital array radar technology, etc.) and the stressing performance requirements, often imposed by defence applications in areas such as airborne early warning and homeland security.Increasingly complex operating scenarios calls for sophisticated algorithms with the 410 0$aIET radar, sonar, navigation and avionics series ;$v22. 606 $aRadar transmitters 606 $aRadio waves 606 $aRadio$xTransmitter-receivers 615 0$aRadar transmitters. 615 0$aRadio waves. 615 0$aRadio$xTransmitter-receivers. 676 $a621.3848 701 $aDe Maio$b Antonio$0325214 701 $aGini$b Fulvio$01758095 701 $aPatton$b Lee$01822212 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911006514203321 996 $aWaveform design and diversity for advanced radar systems$94388331 997 $aUNINA