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This paper proposes a multidimensional ambient oscillation monitoring algorithm denoted as fast frequency-domain decomposition (FFDD). Based on a new theoretical result, the algorithm is offered as an improvement over the previously proposed frequency-domain decomposition in that FFDD does not require time-consuming singular value decomposition and it does not require cross spectrum estimates. FFDD...
In contrast with UKF, the standard CKF can solve high-dimensional nonlinear filter problems. However, when the nonlinear systematic dimension increases, the accuracy of CKF will decline and the computational cost will increase rapidlly. Two-Stage Kalman filter can solve this problem, but it only applies to linear systems. This paper proposes a two-stage Cubature Kalman filter (TSCKF) which can solve...
As a distributed parameter system, traffic flow model of freeway traffic is determined by the traffic state on-road and boundary flows form on-ramp or off-ramp sections. The existing studies for traffic estimation mainly focus on the traffic parameter, namely density (or vehicles) of mainline traffic. In this paper, Kalman filtering for simultaneous traffic counts and off-ramp flow estimation is proposed...
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