Blind Interference Suppression with Uncalibrated Phased-Array Processing.

Area of Science:

• Electrical Engineering
• Signal Processing
• Wireless Communications

Background:

• Increasing wireless devices lead to radio frequency spectrum congestion.
• Robust, adaptive communication systems are crucial for spectral efficiency and reliability.
• Traditional beamforming requires precise array calibration and configuration knowledge, limiting its use.

Purpose of the Study:

• To propose a novel blind beamforming approach for complex narrowband interference.
• To address environments with unknown or imperfect array configurations.
• To improve spectral efficiency and communication reliability in congested radio frequency spectrums.

Main Methods:

• Developed a blind beamforming algorithm for digital phased-array receivers.
• The approach relaxes requirements for precise antenna element calibration and array configuration.
• Validated through wireless laboratory experiments with a two-element array.

Main Results:

• The proposed method successfully suppresses multiple interference sources.
• No prior knowledge of the primary signal of interest is required.
• Experimental results closely match the theoretical performance bound in additive white Gaussian noise (AWGN).

Conclusions:

• The novel blind beamforming approach is effective in spectrally congested environments.
• It offers a viable solution for interference mitigation when array configuration is unknown.
• The technique demonstrates robust performance comparable to ideal communication conditions.