Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In order to investigate the clutter nulling performance of the sample matrix inversion (SMI) algorithm in amplitude heterogeneous environments,  derive an analytical expression for the average signal-to-interference plus noise ratio (SINR) loss based on random matrix theory. The results show that comparing with the case where the training data utilizes the homogeneous secondary samples (which are independent and identically distributed (IID) to the snapshot in the cell under test (CUT)), formulating the adaptive ight with the secondary samples which have stronger clutter por than that in CUT will increase the output SINR. Nevertheless, the achievable performance improvement might be quite limited. Conversely, selecting the secondary samples with aker clutter por will degrade the performance.
['Bo Tang', 'Jun Tang', 'Yingning Peng']
I am writing a research paper on a idea Clutter Nulling Performance of SMI in Amplitude Heterogeneous Clutter Environments
[{"from": "human", "value": "I am writing a research paper on a idea Clutter Nulling Performance of SMI in Amplitude Heterogeneous Clutter Environments"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In order to investigate the clutter nulling performance of the sample matrix inversion (SMI) algorithm in amplitude heterogeneous environments,  derive an analytical expression for the average signal-to-interference plus noise ratio (SINR) loss based on random matrix theory. The results show that comparing with the case where the training data utilizes the homogeneous secondary samples (which are independent and identically distributed (IID) to the snapshot in the cell under test (CUT)), formulating the adaptive ight with the secondary samples which have stronger clutter por than that in CUT will increase the output SINR. Nevertheless, the achievable performance improvement might be quite limited. Conversely, selecting the secondary samples with aker clutter por will degrade the performance."}]