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- W4321608260 abstract "Recently, the conformal array radar has attracted wide attention compared with the conventional array radar due to its flexible element configuration and more diverse signal processing methods. During the development of the jamming equipment, the electromagnetic environment becomes more complex, which brings more challenges to the radar system. To overcome the variable interference environment's negative influence on moving target tracking, we propose two adaptive power allocation methods based on two criteria to improve target tracking accuracy. Firstly, we build the data model of the conformal subaperturing frequency diverse array multi-input and multi-output (CSFDA-MIMO) radar and the interference signal. Moreover, the Bayesian Cramer-Rao bound (BCRB), signal-to-interference-plus-noise ratio (SINR) are derived and taken as the objective functions in proposed optimization problems. Based on it, we build two different power allocation optimization problems under BCRB minimization criteria and SINR maximization criteria, respectively, and two different power constraints are considered. Finally, simulation results verify the effectiveness of the proposed adaptive power allocation methods. The power allocation strategies under two criteria can obtain better tracking accuracy compared with uniform allocation, and the tracking accuracy of the adaptive power allocation method can be influenced by different power constraint conditions." @default.
- W4321608260 created "2023-02-24" @default.
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- W4321608260 date "2023-01-01" @default.
- W4321608260 modified "2023-10-16" @default.
- W4321608260 title "Cognitive Conformal Subaperturing FDA-MIMO Radar for Power Allocation Strategy" @default.
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- W4321608260 doi "https://doi.org/10.1109/taes.2023.3247978" @default.
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