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Adaptive correlation algorithm for aligning antenna arrays in deep space communication

Adaptive correlation algorithm for aligning antenna arrays in deep space communication

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Instead of using large apertures, antenna arrays can be used to enhance the receiving signal-to-noise ratio in deep space applications. An adaptive correlation algorithm is presented. This method is a variable step-size algorithm based on a sigmoid function, which not only uses the cross-correlation of each antenna with the reference one but also utilises the variance of weight updating values from every iteration. The simulation results demonstrate that the proposed algorithm can achieve low combining loss for very weak signals after a few iterations.

References

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      • 1. Rogstad, D.H., Mileant, A., Pham, T.: ‘Antenna arraying techniques in the deep space network’ (John Wiley, Hoboken, NJ, 2005).
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      • 3. Cheung, K.M.: ‘Eigen theory for optimal signal combining: a unified approach’. TDA Progress Report 42-126, Jet Propulsion Laboratory, Pasadena, CA, August 1996.
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      • 4. Rogstad, D.: ‘The SUMPLE algorithm for aligning arrays of receiving radio antennas: coherence achieved with less hardware and lower combining loss’. IPN Progress Report 42-162, Jet Propulsion Laboratory, Pasadena, CA, 2005.
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      • 5. Lee, C.H., Kar-Ming, C., Vilnrotter, V.A.: ‘Fast eigen-based signal combining algorithms for large antenna arrays’. IEEE Conf. Aerospace, Montana, March 2005, pp. 11231129.
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      • 6. Qiao, D.: ‘Researches on correlation algorithm in deep space large array receivers’. M.S. thesis, Department of Electronics Engineering, Peking University, Beijing, China, 2008.
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