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Recent interest in the collection of remote laser radar imagery has motivated novel systems that process temporally contiguous frames of collected imagery to produce an average image that reduces laser speckle, increases image SNR, decreases the deleterious effects of atmospheric distortion, and enhances image detail. This research seeks an algorithm based on Bayesian estimation theory to select those frames from an ensemble that increases spatial resolution compared to simple unweighted averaging of all frames. The resulting binary weighted motion-compensated frame average is compared to the unweighted average using simulated and experimental data collected from a fielded laser vision system. Image resolution is significantly enhanced as quantified by the estimation of the atmospheric seeing parameter through which the average image was formed.

Significant cost and schedule risk are incurred when novel flight-test hardware is integrated into airborne test platforms. Much of the cost is attributed to the labor involved in the installation of signal interconnect wiring between the flight-test hardware and the operator interface. Project cost and schedule may be reduced by the substitution of wireless communication paths in lieu of hardwired connections. Recent advances in commercially available localarea-networking (LAN) hardware have enabled the deletion of hardwire data paths aboard aircraft, and have enabled new flight-test methodologies involving multi-aircraft formations as well as novel telemetry implementations. This paper represents a survey of work completed by the United States Air Force Test Pilot School and the Air Force Institute of Technology, and introduces several exciting LAN-based flight-test programs scheduled for the near-term.