MLPs for detecting radar targets in gaussian clutter
AIKED'06 Proceedings of the 5th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases
IEEE Transactions on Signal Processing
Low complexity MLP-based radar detector: influence of the training algorithm and the MLP size
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
MLP-based radar detectors for Swerling 1 targets
Pattern Recognition and Image Analysis
Approximating the Neyman-Pearson detector for swerling I targets with low complexity neural networks
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
An optimum RBF network for signal detection in non-gaussian noise
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
Neural network detectors for composite hypothesis tests
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
NN-Based detector for known targets in coherent weibull clutter
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
| Hi-index | 35.69 |
We employ neural networks to detect known signals in additive non-Gaussian noise. Training of the neural network for signal detection and its operation at some specified probability of false alarm are discussed. Performance of neural detectors are presented under several non-Gaussian noise environments and are compared with those of matched filter and locally optimum detectors