Adaptive beamforming with joint robustness against signal mismatch and interference nonstationarity
- Resource Type
- Conference
- Authors
- Wu, B.-Z.; Qian, Z.-P.; Qu, X.-B.
- Source
- 2009 3rd IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, 2009 3rd IEEE International Symposium on. :284-288 Oct, 2009
- Subject
- Computing and Processing
Communication, Networking and Broadcast Technologies
Fields, Waves and Electromagnetics
Signal Processing and Analysis
Array signal processing
Robustness
Covariance matrix
Support vector machines
Cost function
Degradation
Interference constraints
Sensor arrays
Programmable logic arrays
Computer errors
Robust
adaptive beamforming
signal mismatch
interference nonstationarity
support vector machine
diagonal loading
- Language
Adaptive beamforming methods degrade in the presence of both signal mismatch and interference nonstationarity. This paper presents a more robust method to adaptive beamforming that provides joint robustness against signal mismatch and interference nonstationarity. We generalize the conventional linearly constrained minimum variance cost function by introducing the error matrix of signal covariance matrix and error constraints of DOA. The final cost function adopts the form of a support vector machine (SVM) for regression. Computer simulations demonstrate an improved performance in comparison with other robust beamforming techniques.