A New Low Complexity Angle of Arrival Algorithm for 1D and 2D Direction Estimation in MIMO Smart Antenna Systems

Area of Science:

• Wireless Communication
• Signal Processing
• Array Signal Processing

Background:

• Smart wireless communication systems rely on accurate signal direction estimation.
• Traditional Angle of Arrival (AOA) methods often involve computationally intensive processes like matrix inversion and eigen-decomposition.
• These complex operations limit real-time applicability in multi-element systems.

Purpose of the Study:

• To introduce a new, computationally efficient AOA estimation method.
• To reduce the complexity of signal direction finding in multi-element wireless systems.
• To enhance accuracy, particularly with correlated signals and limited data.

Main Methods:

• A novel mathematical model for direct AOA estimation from received signals.
• Avoidance of computationally expensive steps such as correlation matrix construction, inversion, and eigen-decomposition.
• Extensive computer simulations for verification using linear and circular sensor arrays.

Main Results:

• The proposed method significantly reduces computational complexity compared to existing techniques.
• Demonstrated improved accuracy, especially under conditions of correlated signals and a limited number of snapshots.
• Validation across various scenarios and array configurations (linear and circular).

Conclusions:

• The new low-complexity AOA method offers a practical advancement for smart wireless communication systems.
• It provides a viable alternative for real-time signal direction estimation where computational resources are constrained.
• The method shows superior performance in challenging scenarios with correlated signals and sparse data.