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38篇 您的检索式：作者名="LANTERMAN A"

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	题名	作者	年代	出处	被引量
1	Probability hypothesis density-based multitarget tracking with bistatic range and doppler observations显示文摘	Tobias M and Lanterman A D	2005	IET Radar Sonar and Navigation2005，152，3：	1
2	Techniques for birth-particle placement in the probability hypothesis density particle filter applied to passive radar显示文摘	Tobias M and Lanterman A D	2008	IET Radar Sonar and Navigation2008，2，5：	1
3	Tracking and recognition of airbome targets via commercial television and FM radio signals 显示文摘	Lanterman A D	1999	Proceedings of SPIE-The International Society for Optical Engineering1999，3692，：	1
4	Techniques for birth-particle placement in the probability hypothesis density particle filter applied to passive radar 显示文摘	Tobias M Lanterman A	2008	IET Radar Sonar and Navigation2008，2，5：	1
5	Unscented Kalman filters for multiple target tracking with symmetric measurement equations显示文摘	Leven W F Lanterman A D	2009	IEEE Transactions on Automatic Control2009，54，2：	1
6	Probability hypothesis density based multitarget tracking with bistatic range and Doppler observations显示文摘	Tohias M Lanterman A D	2005	IEE Proc-Radar Sonar Navig2005，152，3：	1
7	Sehwarz, wallace, and rissanen:intertwining themes in theories of model selection显示文摘	LANTERMAN A	2001	International Statistical Review2001，69，2：	1
8	Kullback-leibler Distances for Quantifying Clutter and Models显示文摘	Lanterman A D Sullivan J A O Miller M I	1999	Optical Engi- neering1999，38，2：	1
9	Extended Kalman filter for estimating aircraft orientation from velocity measurements 显示文摘	EHRMAN L M LANTERMAN A D	2008	IEE Proceedings of Radar Sonar & Navigation2008，2，1：	1
10	Compensation for readout noise in CCD images显示文摘	SNYDER D L HELSTROM C W LANTERMAN A D	1995	Journal of the Optical Society of America A:Optics and Image Science and Vision1995，12，2：	1
11	Schwarz,Wallace,and Rissanen:interview themes in theories of model selection显示文摘		2001	International Statistical Review2001，69，：	1
12	Extended Kalman filter for esti- mating aircraft orientation from velocity measurements显示文摘	Ehrman L M Lanterman A D	2008	IET Radar Sonar and Navigation2008，2，1：	1
13	Probability hypothesis density based multi-target tracking with bistatic range and Doppler observations显示文摘	Tobias M Lanterman A D	2005	IET Radar Sonar and Navigation2005，152，3：	1
14	Techniques for birth- particle placement in the Probability Hypothesis Density particle filter applied to passive radar显示文摘	TOBIAS M A LANTERMAN D	2008	IET Radar Sonar and Navigation2008，2，5：	1
15	Probability hypothesis density-based multitarget tracking with bistatic range and Doppler observations显示文摘	Tobias M Lanterman A D	2005	IEEE Proceedings-Radar Sonar and Navigation2005，152，3：	1
16	Unscented Kalman filters for multiple target tracking with symmetric measurement equations显示文摘	LEVEN W E LANTERMAN A D		0，，02：	1
17	Techniques for birth particle placement in the probability hypothesis density particle filter applied to passive radar显示文摘	Tobias M Lanterman A	2008	IET Radar Sonar and Navigation2008，2，5：	1
18	Probability Hypothesis density-based multitarget tracking with bistatic range and doppler observations显示文摘	Tobias M Lanterman A D	2005	IET Radar Sonar and Navigation2005，152，3：	1
19	Probability hypothesis densitybased multitarget tracking with bistatic range and Doppler observations显示文摘	Tobias M Lanterman A D		0，，03：	1
20	Probability Hypothesis Density-based Multitarget Tracking with Bistatic Range and Doppler Observations显示文摘	Tobias M Lanterman A D	2005	IEE Proceedings-Radar Sonar and Navigation2005，152，3：	1

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