Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Bearing estimations based on the projection approach are discussed. A method is presented which computes a projection matrix by using any M rows of the covariance matrix, where M is the number of radiation sources. This method requires considerably fer computations than projection techniques using eigenvectors, especially when the number of array elements is much larger than the number of sources. Simulation results are presented also.
['Chien-Chung Yeh']
I am writing a research paper on a idea Projection approach to bearing estimations
[{"from": "human", "value": "I am writing a research paper on a idea Projection approach to bearing estimations"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Bearing estimations based on the projection approach are discussed. A method is presented which computes a projection matrix by using any M rows of the covariance matrix, where M is the number of radiation sources. This method requires considerably fer computations than projection techniques using eigenvectors, especially when the number of array elements is much larger than the number of sources. Simulation results are presented also."}]