Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Distributed MIMO radar systems have demonstrated to offer enhanced target localization capabilities. Reasonable por allocation strategies are designed to motivate a maximal system potential. Hover, the existing por allocation strategies strongly depend on the accuracy of previous position estimation, which restricts the real-time applications. ,  extend the existing works to a more general case of unknown previous position information. Since the Cramer-Rao lor bound is known to provide a tight lor bound on the error of any unbiased estimator, it is derived and then employed as the optimization metric. The proposed por allocation strategy is ultimately formulated as a minimax problem to minimize the maximum probability of localization estimation errors over the whole area. Numerical results demonstrate its superior performance.
['Mingchi Xie', 'Wei Yi', 'Lingjiang Kong']
I am writing a research paper on a idea Power allocation strategy for target localization in distributed MIMO radar systems without previous position estimation
[{"from": "human", "value": "I am writing a research paper on a idea Power allocation strategy for target localization in distributed MIMO radar systems without previous position estimation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Distributed MIMO radar systems have demonstrated to offer enhanced target localization capabilities. Reasonable por allocation strategies are designed to motivate a maximal system potential. Hover, the existing por allocation strategies strongly depend on the accuracy of previous position estimation, which restricts the real-time applications. ,  extend the existing works to a more general case of unknown previous position information. Since the Cramer-Rao lor bound is known to provide a tight lor bound on the error of any unbiased estimator, it is derived and then employed as the optimization metric. The proposed por allocation strategy is ultimately formulated as a minimax problem to minimize the maximum probability of localization estimation errors over the whole area. Numerical results demonstrate its superior performance."}]