Radar network topology optimization for joint target position and velocity estimation
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- 作者：Inna Ivashko ; I.Ivashko@tudelft.nl" class="auth_mail" title="E-mail the corresponding author ; Geert Leus G.J.T.Leus@tudelft.nl" class="auth_mail" title="E-mail the corresponding author ; Alexander Yarovoy A.Yarovoy@tudelft.nl" class="auth_mail" title="E-mail the corresponding author
- 关键词：Radar network ; Topology optimization ; Greedy optimization ; Frame potential ; Log-determinant
- 刊名：Signal Processing
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：130
- 期：Complete
- 页码：279-288
- 全文大小：1704 K
文摘
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A number of radar applications require knowledge of the full target state vector.
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Localization-driven topology optimization can outperform the location- and velocity-driven one.
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The log-determinant cost function allows for a lower computational complexity than the frame potential cost function.
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The greedy optimization of the log-determinant gives better performance than the convex optimization of the maximum eigenvalue.