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논문검색

Adaptive Beamforming Algorithms for Anti-Jamming

초록

영어

Smart antennas possess the capability of suppressing jamming signal, so they can improve signal to interference plus noise ratio (SINR). Array processing utilizes information regarding locations of signal to aid in interference suppression and signal enhancement and is considered promising technology for anti-jamming. In this paper we studied three beamforming algorithms, Least Mean Square (LMS) algorithm, Optimized-LMS algorithm and Recursive Least Squares (RLS) algorithm. Simulation results are presented to compare the ability of these three algorithms to form beam in the direction of desired signal and place null in the direction of interference signal. Dependency of these algorithm on SNR and SIR is also analyzed. It has been found that RLS algorithm is best suited for anti-jamming applications.

목차

Abstract
 1. Introduction
 2. Adaptive Beamforming Algorithms
  2.1. Least Mean Square (LMS) Algorithm
  2.2. Optimal LMS Algorithm with Optimal Step Size
  2.3. Recursive Least Square Algorithm
 3. Simulation Results
 4. Conclusion
 References

저자정보

  • Rana Liaqat Ali COMSATS Institute of Information Technology, Islamabad, Pakistan.
  • Anum Ali COMSATS Institute of Information Technology, Islamabad, Pakistan.
  • Anis-ur-Rehman COMSATS Institute of Information Technology, Islamabad, Pakistan.
  • Shahid A. Khan COMSATS Institute of Information Technology, Islamabad, Pakistan.
  • Shahzad A. Malik COMSATS Institute of Information Technology, Islamabad, Pakistan.

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