Dynamic programming track-before-detect algorithm for radar target detection based on polynomial time series prediction

An improved dynamic programming track-before-detect (DP-TBD) algorithm is proposed in this study. A new relaxed DP-TBD test statistic containing a term of state transition probability is derived. The state transition probability is designed according to the one-step prediction of the target state. A...

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Veröffentlicht in:	IET radar, sonar & navigation Jg. 10; H. 8; S. 1327 - 1336
Hauptverfasser:	Zheng, Daikun, Wang, Shouyong, Meng, Qingwen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	The Institution of Engineering and Technology 01.10.2016
Schlagworte:	Algorithms Dynamic programming energy back‐scattered integration improved dynamic programming track‐before‐detect algorithm Mathematical models object detection polynomial time series prediction Polynomials Radar detection radar target detection regression analysis relaxed DP‐TBD test statistic Research Article state transition probability Statistical tests Time series Transition probabilities weighted least squares radar detection improved dynamic programming track-before-detect algorithm polynomials regression analysis weighted least squares dynamic programming time series object detection state transition probability radar target detection relaxed DP-TBD test statistic polynomial time series prediction energy back-scattered integration
ISSN:	1751-8784, 1751-8792
Online-Zugang:	Volltext
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