天基稀疏孔徑雷達(dá)在波束掃描干涉模式下的GMTI研究
Ground Moving Target Indication of Space Based Sparse Array Scanned Pattern Interferometric Radar
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摘要: 在理論上天基稀疏孔徑波束掃描干涉雷達(dá)(SPIR)的地面動(dòng)目標(biāo)檢測(cè)方法僅適用于回波數(shù)據(jù)無(wú)方位模糊時(shí)的情形，但該文通過(guò)對(duì)點(diǎn)散布函數(shù)矩陣的進(jìn)一步分解后發(fā)現(xiàn)，SPIR在方位模糊時(shí)仍會(huì)有一定的空時(shí)重構(gòu)效果，且其動(dòng)目標(biāo)檢測(cè)性能會(huì)比常規(guī)空時(shí)級(jí)聯(lián)處理的性能好。Abstract: In theory, the Ground Moving Target Indication (GMTI) method of space based sparse array Scanned Pattern Interferometric Radar (SPIR) only works when there are no ambiguities in azimuth. By decomposing the Point Spread Function (PSF) matrix, It is proposed that SPIR can work even there are a few ambiguities in azimuth, i.e. the ground scene can be recovered to some degree. Also through simulation experiments, SPIR is found to get much better GMTI performance than that of general space-time cascade processing.
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Klemm R. Space-time adaptive processing: principles and[2]applications. UK: IEE Press, 1998.[3]Marais Karen, J Sedwick Raymond. The development and[4]analysis of scanned pattern interferometric radar. Dissertation for the Degree of Master of Science, MIT, USA, 2001.[5]J Sedwick Raymond, L Hacker Troy, Marais Karen. Performance[6]and analysis for an interferometric space-based GMTI radar system. 2000 IEEE International Radar Conference, Alexandria, VA, 2000: 689-694.[7]Marais Karen, Sedwick Raymond. Space based GMTI using scanned pattern interferometric radar (SPIR). 2001 IEEE Proceedings of Aerospace Conference, Big Sky, MT, 2001, (4): 2047-2055.[8]Merrill I Skolnik. Radar Handbook. New York: Mcgraw-Hill, 1990.[9]Guo Q, Liao G, Wu Y, Li J. Pattern synthesis method for arbitrary arrays based on LCMV criterion[J].Electronics Letters.2003, 39(23):1628-1630 -
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