Improving frame integration performance in the presence of unknown sensor jitter

Mac L. Hartless

doi:10.1117/12.179057

6 July 1994 Improving frame integration performance in the presence of unknown sensor jitter

Mac L. Hartless

Proceedings Volume 2235, Signal and Data Processing of Small Targets 1994; (1994) https://doi.org/10.1117/12.179057
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

Abstract

Temporal frame integration performance in white noise is investigated as a function of the sensor point spread function (PSF), the uncompensated sensor jitter level and the velocity bin quantization used in the algorithm implementation. The analysis is provided for both recursive and non-recursive frame integration implementations. The results show that for a given sensor PSF, jitter level and velocity bin quantization, a limit exists on how many frames can be effectively integrated assuming constant velocity hypotheses for the target. It is also shown that to obtain maximum performance from multi-frame integration, knowledge of the residual rms jitter level needs to be included as part of the optimal space-time filter. A simple non- linear method for reducing the frame integration loss when there is uncompensated sensor jitter present in the data is also presented.

Citation Download Citation

Mac L. Hartless "Improving frame integration performance in the presence of unknown sensor jitter", Proc. SPIE 2235, Signal and Data Processing of Small Targets 1994, (6 July 1994); https://doi.org/10.1117/12.179057

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KEYWORDS

Sensors

Digital filtering

Signal to noise ratio

Quantization

Detection and tracking algorithms

Point spread functions

Image resolution

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