A new robust neural network method for coherent interference rejection in adaptive array systems
- 1 January 1990
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 119-124 vol.2
- https://doi.org/10.1109/ijcnn.1990.137704
Abstract
An approach for narrowband interference rejection is presented using a multilayer neural network with a three-element radar array system. The simulation compares the performances of the adaptive array systems for the conventional least-mean-square (LMS) network and the multilayer neural network. The results verify the feasibility of the multilayer neural network by means of the back-propagation (BP) algorithm for adaptive radar systems. These results show many advantages over the conventional LMS method for the following problems: coherent interference rejection, simultaneous multiple target detection, influence of the convergence speed by the input signal power, computational complexity, real-time processing and robustnessKeywords
This publication has 5 references indexed in Scilit:
- An introduction to computing with neural netsIEEE ASSP Magazine, 1987
- Signal cancellation phenomena in adaptive antennas: Causes and curesIEEE Transactions on Antennas and Propagation, 1982
- Adaptive arraysIEEE Transactions on Antennas and Propagation, 1976
- Adaptive arrays—An introductionProceedings of the IEEE, 1976
- Adaptive antenna systemsProceedings of the IEEE, 1967