Used the 2D-FFT operation to estimate the target's radar parameters at a reduced computational cost

What is it about?

To estimate the target's radar parameters, we reformulated the cost function in order to use the 2D-FFT operation and evaluate it at a reduced computational cost. In this work, the simulated noise term is white Gaussian.

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Why is it important?

The direct evaluation of the initial cost function is computationally inefficient. Reformulating the cost function allows the use of the 2D-FFT to significantly reduce the computational cost. The performance of our estimators is assessed and matches the CRLB.