Using multilayer perceptrons to align high range resolution radar signals

Authors:
R. Gil-Pita;M. Rosa-Zurera;P. Jarabo-Amores;F. López-Ferreras
Affiliations:
Departamento de Teoría de la Señal y Comunicaciones, Universidad de Alcalá, Alcalá de Henares - Madrid, Spain;Departamento de Teoría de la Señal y Comunicaciones, Universidad de Alcalá, Alcalá de Henares - Madrid, Spain;Departamento de Teoría de la Señal y Comunicaciones, Universidad de Alcalá, Alcalá de Henares - Madrid, Spain;Departamento de Teoría de la Señal y Comunicaciones, Universidad de Alcalá, Alcalá de Henares - Madrid, Spain
Venue:
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Year:
2005

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Abstract

In this paper we propose the use of Multilayer Perceptrons (MLPs) to align High Range Resolution (HRR) radar signals circularly shifted in time. To study the performance, the error of shift estimation is measured for different values of Signal to Noise ratio (SNR). The Zero Phase method is used for comparison purposes. Results show the best performance of the Zero Phase method with completely misaligned patterns, and the best performance of the MLP with low grades of misalignment. Using these results, a new method is proposed. First, the Zero Phase algorithm is used to pre-align the signals. Then, a MLP is trained using the pre-aligned signals in order to get more accuracy on the estimation of the shift. Results show an improvement up to 30%.