Improving Radar Target Localization Accuracy: Comparing Biased Neural Networks and Unbiased Gradient Descent Algorithms

Biased neural network models can outperform unbiased gradient descent algorithms in estimating radar target azimuth and velocity, despite not exceeding the theoretical Cramér-Rao Bound.