Parallel data processing based on high density volume holographic correlator

Liangcai Cao; Qingsheng He; Qiang Ma; Guofan Jin

doi:10.1117/12.825450

21 August 2009 Parallel data processing based on high density volume holographic correlator

Liangcai Cao, Qingsheng He, Qiang Ma, Guofan Jin

Proceedings Volume 7420, Photonic Fiber and Crystal Devices: Advances in Materials and Innovations in Device Applications III; 74200O (2009) https://doi.org/10.1117/12.825450
Event: SPIE Photonic Devices + Applications, 2009, San Diego, California, United States

Abstract

Because of the high density and high parallelism of the volume holographic storage, volume holographic correlator can be used as parallel multiple pattern filters. It has a natural feature for the parallel optical computing. However, the applications of this kind of correlator are limited due to low accuracy of the computing results and small number of parallel channels. To improve the data processing accuracy, some methods are proposed and employed to reduce the noise and computing error of the volume holographic correlator. The sidelobes of the correlation pattern can be totally suppressed. The shapes of the correlation patterns are made uniform. And the detected intensity can approach the inner products of the input images and the stored images. The computing speed of the correlator based on the current optoelectronic elements could be nearly two or three magnitude orders over the computing speed of traditional electronic processors. The applications of volume holographic correlator in the star field identification are demonstrated.

Citation Download Citation

Liangcai Cao, Qingsheng He, Qiang Ma, and Guofan Jin "Parallel data processing based on high density volume holographic correlator", Proc. SPIE 7420, Photonic Fiber and Crystal Devices: Advances in Materials and Innovations in Device Applications III, 74200O (21 August 2009); https://doi.org/10.1117/12.825450

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