Study of two ANN digital implementations of a radar detector candidate to an on-board satellite experiment

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1607, Issue , 1999, Pages 615-624

  Velazco, R ^a   Godin, Ch ^b,d   Cheynet, Ph ^a   Torres Alegre, S ^c   Andina, D ^c   Gordon, M B ^b  

^a TIMA LABORATORY   (France)

^b CEA GRENOBLE   (France)

^c UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

^d CEA DAM DIF   (France)

Author keywords

[No Author keywords available]

Indexed keywords

CHARGED PARTICLES; MICROELECTRONICS; NEURAL NETWORKS; ORBITS; RADAR; TRACKING RADAR;

BOARD SATELLITES; DIGITAL IMPLEMENTATION; PARAMETER DEVIATIONS; PROGRAMMATION; RADAR DETECTORS; SCIENTIFIC SATELLITES; SONAR DETECTION; TEXTURE ANALYSIS;

SPACE-BASED RADAR;

EID: 84958058806     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/BFb0100529     Document Type: Conference Paper

References (19)

1. S.E. Decatur, "Application of neural networks to terrain classification," Proc. Int. Conf. Neural Networks, pp. 283-288, 1989.
2. N. Miller, M.W. McKenna, T.C. Lau, "Office of Naval Research Contributions to Neural Networks and Signal Processing in Oceanic Engineering", IEEE Journal of Oceanic Engineering, Vol. 17,N° 4, Oct. 1992.
3. M.W. Roth, "Survey of neural network technology for automatic target recognition", IEEE Trans. Neural Networks, Vol. 1,N° 1, pp. 28-43, March 1990.
4. D. Andina and J. L. Sanz-Gonzalez. "Optimization of a Neural Network Applied to Pulsed Radar Detection", Proc. of VIII European Signal Processing Conference, EUSIPCO-96, Trieste, Italy, pp. 851-854, September 1996.
5. J. D. Muller, P. Cheynet, R. Velazco, “Analysis and improvement of network robustness for onboard satellite image processing", Int. Conference on Artificial Neural Networks ICANN’97, Lausanne, Suisse. 8-10 oct. 1997.
6. A. Assoum, N.E. Radi, R. Velazco, F. Elie & R. Ecoffet, "Robustness Against SEU of an Artificial Neural Network Space Applications", Special Issue IEEE Trans, on Nuclear Science, Vol. 43. Number 3, Part I, pp. 973-978, June 1996.
7. R. Velazco, Ph. Cheynet, J-D. Muller, R. Ecoffet, "Artificial Neural Network Robustness for on-board satellite image processing: Results of SEU simulations and ground tests", IEEE Transactions on Nuclear Science. Part I, Vol. 44, pp. 23372344, 1997.
8. J. C. Ritter, “Microelectronics and Photonics Test Bed", 20th Annual AAS Guidance and Control Conference, Breckenridge, Colorado, Feb. 5-9 1997.
9. F. Bezerra, D. Benezech, R. Velazco, "Study of the sensitivity of Transputers with respect to SEU and latchup phenomenons", Proc. of Radiation Effects on Components and Systems (RADECS’95), Arcachon, 18-23 Sept. 1995.
10. A. Assoum, et al. “Robustness against singie event upsets of digital implementations of neural networks.”. Proceedings International Conference on Artificial Neural Networks, Session 9, Paris, Octobre 9-13, 1995.
11. D. Andina, J.L. Sanz-Gonzalez. "QuasiOptimum Detection Results Using a Neural Network", Proc. of IEEE Int. Conf. on Neural Networks, ICNN’96, Washington DC, USA, pp. 1929-1932, June 1996.
12. W.L. Root, "An Introduction to the Theory of the Detection of Signals in Noise". Proc. of the IEEE, vol 58, pp. 610-622, May 1970.
13. D. Andina, J.L. Sanz-Gonzalez and J.A. Jimenez-Pajares, "A Comparison of Criterion Functions for a Neural Network Applied to Binary Detection", Proc. of Int. Conf Neural Networks, ICNN, Perth, Australia, 1995.
14. D. Andina, J.L. Sanz-Gonzalez. "Design and Performance Analysis of Neural Binary Detectors", Novel Intelligent Automation and Control Systems, Vol 1, pp.59-78, Germany, 1998.
15. J.L. Marcum, "A Statistical Theory of Target Detection by Pulsed Radar". IRE Trans, on Information Theory, Vol. IT-6, N“2, pp. 59-144. Apr. 1960.
16. J.M.Torres-Moreno, "Apprentissage et generalisation par des reseaux de neurones:etude de nouveaux algorithmes constructifs", Ph.D. Thesis. Institut Nat. Polytechnique de Grenoble, 1997.
17. Bruno Raffin, Mirta B. Gordon, "Learning and generalization with Minimerror, a temperature dependent learning algorithm.”, Neural Computation7, pp. 1206-1224, 1995.
18. Torres-Moreno, J.-M. and Gordon, M, "Characterization of the Sonar Signals Benchmark", Neural Processing Letters 7 1-4, 1998.
19. J.M. Torres-Moreno, M.B. Gordon, "Efficient adaptive learning for classification tasks with binary units", Neural Computation 10, pp. 1017-1040, 1998.