Multidimensional Systems and Signal Processing
Robust adaptive beamforming under the quadratic inequality constraint
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Robust constrained least square constant modulus algorithm
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
IEEE Transactions on Signal Processing
Robust Adaptive Beamforming Under Quadratic Constraint with Recursive Method Implementation
Wireless Personal Communications: An International Journal
Adaptive constrained constant modulus algorithm based on auxiliary vector filtering for beamforming
IEEE Transactions on Signal Processing
Robust constrained constant modulus algorithm
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part II
Hi-index | 35.69 |
The performances of adaptive array algorithms are known to suffer from a strong degradation in scenarios with moving interfering sources. In this article, basic adaptive beamforming techniques are compared using shallow sea sonar data recorded in a towed horizontal array environment with moving interfering sources originated from shipping noise. Our experimental results show the relationship between the practical performances of adaptive and conventional beamforming techniques compared in terms of output SINR or a related measure given by the noncompensated postbeamforming interference power. These results demonstrate noticeable performance improvements that can be achieved using several robust algorithms relative to traditional adaptive beamforming schemes