Improved Parameter Estimation for First-Order Markov Process

الملخص EN

This correspondence presents a linear transformation, which is used to estimate correlation coefficient of first-order Markov process.

It outperforms zero-forcing (ZF), minimum mean-squared error (MMSE), and whitened least-squares (WTLSs) estimators by controlling output noise variance at the cost of increased computational complexity.