![]() ![]() ![]() A simulation based use case is exemplified for the proposed CRLB analysis. The CRLB predicts the maximum achievable performance on angular/Doppler frequency estimation and target localization in terms of radar system parameters and the prior distribution of the target velocity, offering fundamental insights on designing practical bistatic MIMO radar system. we derive the Cramer-Rao Lower Bounds (CRLB), a performance bound on the. Firstly, the predicted tracking Cram er-Rao lower bounds (CRLB) of interacting multiple model particle lter (IMMPF) tracking method is computed. The bistatic radar configuration provides flexible design on receiver and transmitter radar platforms, which allows enhanced mobility and reduced maintenance cost compared to the monostatic counterpart. Download Citation On the CRLB of height estimation in a 2-dimensional-radar-based network In a radar network composed of two 2-dimensional radars, the CRLB of height estimation is obtained. The Hybrid MIMO Phased Array Radar (HMPAR) is a multi-sensor radar architecture. A novel power allocation strategy of radar networks based on grey relational grade (GRG) is presented in this paper. The simulation results illustrate that the multistatic AF and the multistatic CRLB can serve as guidelines for future multistatic fusion rule development and multistatic radars deployment. This paper derives the Cramer-Rao Lower Bound (CRLB) on angular/Doppler frequency estimation and target localization using a bistatic multi-input multi-output (MIMO) radar system. Taking this into account, this study proposes a target localization algorithm based on bistatic Cramér-Rao Lower Bounds (CRLBs) for multistatic multi-band radar networks. The invention discloses a distributed radar optimal configuration construction method based on a joint CRLB (cross reference beam), which is characterized in that a distributed radar network is equivalent to a large-aperture radar for radar detection performance analysis, an optimal model taking the minimum joint CRLB as a target function is constructed by deducing an equivalent monostatic. Exactly, based on the proper selection of the system parameters, the multistatic radar performance can be significantly improved. ![]()
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