Mr. zheng cao Profile

zheng cao

at Institute of Optics and Electronics CAS

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Publications (3)

Proceedings Article | 24 October 2016 Paper

Study on rejection characteristic of current loop to the base disturbance of optical communication system

Yao Mao, Chao Deng, Qiong Liu, Zheng Cao

Proceedings Volume 9682, 968214 (2016) https://doi.org/10.1117/12.2244013

KEYWORDS: Optical communications, Telecommunications, Line of sight stabilization, Optical tracking, Control systems, Sensors, Laser stabilization, Laser communications, Acquisition tracking and pointing, Transformers

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Proceedings Article | 27 September 2016 Paper

Research of maneuvering target prediction and tracking technology based on IMM algorithm

Zheng Cao, Yao Mao, Chao Deng, Qiong Liu, Jing Chen

Proceedings Volume 9684, 968430 (2016) https://doi.org/10.1117/12.2243242

KEYWORDS: Detection and tracking algorithms, Statistical analysis, Statistical modeling, Electro optical modeling, Motion models, Unmanned aerial vehicles, Error analysis, Target acquisition, Electronic filtering, Filtering (signal processing)

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Maneuvering target prediction and tracking technology is widely used in both military and civilian applications, the study of those technologies is all along the hotspot and difficulty. In the Electro-Optical acquisition-tracking-pointing system (ATP), the primary traditional maneuvering targets are ballistic target, large aircraft and other big targets. Those targets have the features of fast velocity and a strong regular trajectory and Kalman Filtering and polynomial fitting have good effects when they are used to track those targets. In recent years, the small unmanned aerial vehicles developed rapidly for they are small, nimble and simple operation. The small unmanned aerial vehicles have strong maneuverability in the observation system of ATP although they are close-in, slow and small targets. Moreover, those vehicles are under the manual operation, therefore, the acceleration of them changes greatly and they move erratically. So the prediction and tracking precision is low when traditional algorithms are used to track the maneuvering fly of those targets, such as speeding up, turning, climbing and so on. The interacting multiple model algorithm (IMM) use multiple models to match target real movement trajectory, there are interactions between each model. The IMM algorithm can switch model based on a Markov chain to adapt to the change of target movement trajectory, so it is suitable to solve the prediction and tracking problems of the small unmanned aerial vehicles because of the better adaptability of irregular movement. This paper has set up model set of constant velocity model (CV), constant acceleration model (CA), constant turning model (CT) and current statistical model. And the results of simulating and analyzing the real movement trajectory data of the small unmanned aerial vehicles show that the prediction and tracking technology based on the interacting multiple model algorithm can get relatively lower tracking error and improve tracking precision comparing with traditional algorithms.

Proceedings Article | 27 September 2016 Paper

Fizeau simultaneous phase-shifting interferometry based on extended source

Shanshan Wang, Qiudong Zhu, Yinlong Hou, Zheng Cao

Proceedings Volume 9684, 968437 (2016) https://doi.org/10.1117/12.2256227

KEYWORDS: Interferometers, Visibility, Interferometry, Phase interferometry, Phase shifts, Polarization, Zemax, MATLAB, Spatial coherence, Michelson interferometers

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