Waveform diversity and sensors as robots in advanced military systems

Principles of Waveform Diversity and Design

Volumn , Issue , 2011, Pages 61-70

  Weiner, Donald D ^b   Wicks, Michael C ^a   Capraro, Gerard T ^b  

^a AIR FORCE RESEARCH LABORATORY   (United States)

^b NONE

Author keywords

Bistatic triangle; Military radar; Military system; Multistatic ambiguity function; Radar; Radar signal processing; Robot; Robots; Sensor; Sensors; Signal processing; Waveform diversity

Indexed keywords

MILITARY RADAR; MULTISTATIC RADARS; RADAR; RADAR SIGNAL PROCESSING; ROBOTS; SENSORS;

AMBIGUITY FUNCTION; BISTATIC; MILITARY SYSTEMS; MULTI-STATIC; PERFORMANCE MEASURE; PROOF OF CONCEPT; WAVE FORMS; WAVEFORM DIVERSITY;

SIGNAL PROCESSING;

EID: 85013622079     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1049/SBRA023E_ch3     Document Type: Chapter

References (12)

1. W. Baldygo, M. Wicks, R. Brown, P. Antonik, G. Capraro, and L. Hennington, "Artificial intelligence applications to constant false alarm rate (CFAR) processing," IEEE National Radar Conf., Boston, MA, April 1993.
2. R. Senn, "Knowledge base applications to adaptive space-time processing," AFRL-SN-TR-146, Final Technical Report, July 2001.
3. P. Antonik, H. Shuman, P. Li, W. Melvin, and M. Wicks, "Knowledge-based space-time adaptive processing," IEEE National Radar Conf., Syracuse, NY, May 1997.
4. Multi-Channel Airborne Radar Measurement (MCARM) Final Report, Volume 1 of 4, MCARM Flight Test, Contract F30602-92-C-0161, for Rome Laboratory/USAF, by Westinghouse Electronic Systems.
5. C.T. Capraro, G.T. Capraro, D.D. Weiner, and M. Wicks, "Knowledge based map space time adaptive processing (KBMapSTAP)," Intl. Conf. Imaging Science, Systems, and Technology, Las Vegas, Nevada, June 2001.
6. C. Capraro, G. Capraro, D. Weiner, M. Wicks, and W. Baldygo, "Improved STAP performance using knowledge-aided secondary data selection," IEEE Radar Conf., Philadelphia, PA, April 2004, pp. 361-365.
7. A. Farina, H. Griffiths, G. Capraro, and M. Wicks, "Knowledge-based radar signal & data processing," NATO RTO Lecture Series 233, November 2003, Unpublished Report.
8. G.T. Capraro, C.T. Capraro, R.A. Liuzzi, and M.C. Wicks, "Artificial intelligence and waveform diversity," Intl. Conf. Integration of Knowledge Intensive Multi-Agent Systems, 2003.
9. G.T. Capraro, G.B. Berdan, M.C. Wicks, and R.A. Liuzzi, "Artificial intelligence and sensor fusion," Intl. Conf. Integration of Knowledge Intensive Multi-Agent Systems, 2003.
10. E. Conte, E. D’Addio, A. Farina, and M. Longo, "Multistatic radar detection: synthesis and comparism of optimum and suboptimum receivers," Optimal Radar Processors, A. Farina (ed.), Peter Peregrinus Ltd., London, United Kingdom, 1987, pp. 125-135.
11. P. Varshney, D. Weiner, H. Schwarzlander, M. Slamani, and T. Tsao, "Ambiguity function analysis for bistatie radar," U.S.A.F. Rome Labotatory Final Report RL-TR-95-23, Feb. 1992.
12. R.M. Haefner, Ambiguity function of phase-coded pulse waveforms for bistatic radar, Masters Thesis, Syracuse, University, December 1995.