A Deterministic Direct Data Domain Approach To Signal Estimation Using1-D And2-D Antenna Array

Nowadays, Adaptive Array Processing, as a crucial issue in Smart Antenna techniques, is widely used in various areas, such as Mobile Communications, as well as currently hot topic Cognitive Radio. A Deterministic Direct Data Domain Least Squares Method (D3LS) is introduced in this paper, to be applied to a linear antenna array in the estimation of the signal strength, in the presence of interference signals and noise. Both uniformly and nonuniformly distributed array are discussed and analyzed. In addition, we extend the conventional D3LS method to2-D distributed array case. Several application examples of our approach are presented. The results demonstrate that the approach is well applicable to either linear array case or2-D array case. Since in our system model, the noise is assumed to be zero-mean, Gaussian distributed, we compute the Cramer-Rao Lower Bound (CRLB) of the signal strength and compare the result with that obtained from our approach using Monte Carlo simulations. It shows that our approach is very robust and little negatively affected by the geometry of the array. As for the CRLB of the estimated parameter, we also come to other useful conclusions.