INMARSAT integrity channels for global navigation satellite systems

The transmission of integrity information using a signal format compatible with the Global Positioning System (GPS) and relayed through a geostationary satellite repeater, which will be critical in achieving high integrity and availability of global navigation by satellite is discussed. The inclusion of navigation repeaters designed to fulfil this function, the next generation of INMARSAT spacecraft, INMARSAT-3 is examined. The global navigation satellite system (GNSS) integrity channel (GIC) will employ pseudorandom codes in the same family as, but distinct from, the codes reserved by GPS. The data format of the basic integrity channel is designed to convey user range error information for 24 to 40 satellites. A closed-loop timing compensation technique will be used at the uplinking Earth station, to make the signal's clock and carrier Doppler variations identical to those that would result from an onboard signal source. Therefore, the INMARSAT-3 satellites will increase the number of useful navigation satellites available to any user, and can also function as sources of precise timing. There is also a possibility that wide area differential corrections can be carried on the same signal     

Performance analysis of linearly combined order statistic CFARdetectors

Linearly combined order statistic (LCOS) constant false-alarm rate (CFAR) detectors are examined for efficient and robust threshold estimation applied to exponentially distributed background observations for improved detection. Two optimization philosophies have been employed to determine the weighting coefficients of the order statistics. The first method optimizes the coefficients to obtain efficient estimates of clutter referred to the censored maximum likelihood (CML) and best linear unbiased (BLU) CFAR detectors. The second optimization involves maximizing the probability of detection under Swerling II targets and is referred to as the most powerful linear (MPL) CFAR detector. The BLU-CFAR detector assumes no knowledge of the target distribution in contrast to the MPL-CFAR detector which requires partial knowledge of the target distribution. The design of these CFAR detectors and the probability of detection performance are mathematically analyzed for background observations having homogeneous and heterogeneous distributions wherein the trade-offs between robustness and detection performance are illustrated     

A Microcomputer-Controlled Laser Beam Analyzer

A microcomputer-controlled laser beam analyzer is described. It uses five INTEL 8080 microcomputers to calculate the beam's peak intensity, peak intensity coordinates, centroid coordinates, beam energy, and beam quality in real time. Its application to the U.S. Army's gas-dynamic laser is illustrated.     

Vertical mass and moisture structure from TIROS-N

During the First Global GARP Experiment (FGGE), global determinations of mass and moisture were made from TIROS-N (and NOAA-6) infrared and microwave sounding radiance measurements. At NESS in Washington, the meteorological data were produced operationally with a horizontal resolution of 250 km for inclusion in the FGGE level II-b data sets intended for application to large scale numerical analysis and prediction models. High horizontal resolution (50 km) sounding data sets are being produced by NESS and the Space Science and Engineering Center at the University of Wisconsin and at the NASA/Goddard Space Flight Center for special case studies of the “Special Observing Periods” of FGGE.Results are presented to display the characteristics of the sounding data at different resolutions. For the low horizontal resolution data, an evaluation is shown by comparisons of global analyses made only from satellite soundings over land and sea, and those made operationally by the National Meteorological Center, which excluded satellite sounding data over continental areas, but included all conventional data sources. For the high horizontal resolution sounding data, results are presented to demonstrate the delineation of small scale temperature and moisture features which are consistent with the meteorological processes involved.