Enhanced robust adaptive beamforming designs for general-rank signal model via an induced norm of matrix errors (original) (raw)

A new method for robust beamforming using iterative second-order cone programming

This paper addresses the problem of beamforming for antenna arrays in the presence of mismatches between the true and nominal steering vectors. A new method for robust beamforming is proposed by minimizing the array output power while controlling the array mainlobe response. Due to the presence of the non-convex response constraints, a new approach based on iteratively linearizing the non-convex constraints is proposed to reformulate the non-convex problem to a series of second-order cone programming (SOCP) subproblems, each of which can be optimally solved by well-established convex optimization techniques. Simulation results show that the proposed method offers better performance than conventional methods tested.

An alternative formulation for an optimum beamformer with robustness capability

… and Signal Processing, IEE Proceedings F, 1985

Optimum beamforming with multiple linear constraints is now a well known technique in array processing. In the simplest case, a single constraint is imposed, namely unity gain response in the beam direction; the weight vectors are then calculated by minimising the ...

Robust adaptive beamforming using worst-case performance optimization

Asilomar Conference on Signals, Systems & Computers, 2003

In recent decades, adaptive arrays have been widely used in sonar, radar, wireless communications, microphone array speech processing, medical imaging and other fields. In practical array systems, traditional adaptive beamforming algorithms are known to degrade if some of exploited assumptions on the environment, sources, or antenna array become wrong or imprecise. Therefore, the robustness of adaptive beamforming techniques against environmental and array imperfections and uncertainties remains one of the key issues. In this paper, we overview a recently emerged approach to robust adaptive beamforming using worst-case performance optimization.