The low-angle tracking in multipath interference is a challenging problem for the Very High Frequency(VHF)radar.The colocated Multi-Input Multi-Output(MIMO)technique can remedy such a defect.In this paper,a Joint Beam...The low-angle tracking in multipath interference is a challenging problem for the Very High Frequency(VHF)radar.The colocated Multi-Input Multi-Output(MIMO)technique can remedy such a defect.In this paper,a Joint Beam-Target Assignment and Power Allocation(JBTAPA)strategy is proposed for the VHF-MIMO radar network tracking low-angle targets.The core of the JBTAPA strategy is to improve the worst tracking accuracy among multiple targets by assigning appropriate beams to targets and allocating the power resource in each beam using the feedback information in the tracking cycle.Taking into account the transmit multipath and receive multipath,we derive the Cramer-Rao Lower Bound(CRLB)on angle estimate,which is then incor-porated in the Predicted Conditional CRLB(PC-CRLB).A more accurate and consistent lower bound is provided as the optimization metric since the PC-CRLB is based on the most recently real-ized measurements.A two-stage-based technique is proposed to solve the JBTAPA problem,which is originally NP-hard.Simulation results verify the effectiveness and efficiency of the proposed method.The results also imply that the target reflectivity plays one of the important roles in resource allocation.展开更多
基金supported by the National Nature Science Foundation of China(No.62001506).
文摘The low-angle tracking in multipath interference is a challenging problem for the Very High Frequency(VHF)radar.The colocated Multi-Input Multi-Output(MIMO)technique can remedy such a defect.In this paper,a Joint Beam-Target Assignment and Power Allocation(JBTAPA)strategy is proposed for the VHF-MIMO radar network tracking low-angle targets.The core of the JBTAPA strategy is to improve the worst tracking accuracy among multiple targets by assigning appropriate beams to targets and allocating the power resource in each beam using the feedback information in the tracking cycle.Taking into account the transmit multipath and receive multipath,we derive the Cramer-Rao Lower Bound(CRLB)on angle estimate,which is then incor-porated in the Predicted Conditional CRLB(PC-CRLB).A more accurate and consistent lower bound is provided as the optimization metric since the PC-CRLB is based on the most recently real-ized measurements.A two-stage-based technique is proposed to solve the JBTAPA problem,which is originally NP-hard.Simulation results verify the effectiveness and efficiency of the proposed method.The results also imply that the target reflectivity plays one of the important roles in resource allocation.
