JOINT BLIND CALIBRATION AND TIME-DELAY ESTIMATION FOR MULTIBAND RANGING

被引:0
作者
Kazaz, Tarik [1 ]
Coutino, Mario [1 ]
Janssen, Gerard J. M. [1 ]
Van der Veen, Alle-Jan [1 ]
机构
[1] Delft Univ Technol, Fac EEMCS, Delft, Netherlands
来源
2020 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING | 2020年
关键词
blind calibration; ranging; localization; time-of-arrival estimation; sparse covariance matching; multipath estimation; RECOVERY; MODEL;
D O I
10.1109/icassp40776.2020.9054034
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
In this paper, we focus on the problem of blind joint calibration of multiband transceivers and time-delay (TD) estimation of multipath channels. We show that this problem can be formulated as a particular case of covariance matching. Although this problem is severely ill-posed, prior information about radio-frequency chain distortions and multipath channel sparsity is used for regularization. This approach leads to a biconvex optimization problem, which is formulated as a rank-constrained linear system and solved by a simple group Lasso algorithm. Numerical experiments show that the proposed algorithm provides better calibration and higher resolution for TD estimation than current state-of-the-art methods.
引用
收藏
页码:4846 / 4850
页数:5
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