Performance Measures for Compressed and Coded Space Telemetry Systems

The considerations involved in the combination of data compression and error-control coding in space telemetry are analyzed through the use of two performance measures, D and R, which are similar to those used by Shannon for his rate distortion function. The average distortion D is a function of the source probability distribution, the overall system transitional probability matrix, and a cost matrix that signifies the relative importance of different types of data errors. The rate ratio R is the reciprocal of the overall system compression ratio and includes the data expansion effect of additional timing and identification data as well as coding redundancy. The effects of the following system parameters and properties on the overall distortion and rate ratio are analyzed: the error-control usefulness of natural data redundancy; the effect of errors in time information; the use of the strict monotonicity of the time information for error control; the probability distribution of the source; the biterror probability of a binary-symmetric channel; and the word-compression ratio. A rationale for comparing and choosing among three systems? uncompressed-uncoded, compressed-uncoded, and compressed-coded ?is given in terms of the performance measures D and R.     

Waveform fusion in sonar signal processing

In active sonar systems, proper selection of the transmitted waveform is critical for target detection and parameter estimation, especially with the existence of clutter (reverberation). Two commonly used waveforms (constant frequency (CF) and linear frequency modulated (LFM)) are studied. Their characteristics are complementary both with respect to their accuracies and their sensitivity to the blind zero-Doppler ridge. Several fusion schemes of the two kinds of waveforms are explored and fusion results are studied both analytically and from simulation. It is concluded that fusion of the information of different waveforms can be not only more robust, but in some cases outright preferable, in term of detection probability and estimation accuracy.     

Multispectral remote sensing of aerosols

Aerosols are common atmospheric constituents that occur both naturally (clouds, sea spray, dust, smoke, and volcanic emissions) and artificially (smog, smoke, certain hazes, detonation products, and industrial emissions). Some, like the great dust bowl storms in the U.S. in the 1930s, are a combination of natural and manmade agents. Most aerosols are difficult to model because they are composed of small, non-spherical particles whose optical constants and particle sizes are poorly known. Spectroscopic observations of aerosols in the thermal infrared atmospheric window between 8 and 13.5 μm offer the opportunity to detect aerosols both day and night down to very low column densities. Such observations can also identify the gross chemical composition of the particles and, in some cases, the actual sizes and shapes. In this paper, we discuss thermal i.r. observations of three types of aerosols: satellite measurements of volcanic dust, ground-based observations of airborne desert soil and both ground- and space-based measurements of cirrus clouds.     

Directed Subspace Search ML-PDA with Application to Active Sonar Tracking

The maximum likelihood probabilistic data association (ML-PDA) tracking algorithm is effective in tracking Very Low Observable targets (i.e., very low signal-to-noise ratio (SNR) targets in a high false alarm environment). However, the computational complexity associated with obtaining the track estimate in many cases has precluded its use in real-time scenarios. Previous ML-PDA implementations used a multi-pass grid (MPG) search to find the track estimate. Two alternate methods for finding the track estimate are presented-a genetic search and a newly developed directed subspace (DSS) search algorithm. Each algorithm is tested using active sonar scenarios in which an autonomous underwater vehicle searches for and tracks a target. Within each scenario, the problem parameters are varied to illustrate the relative performance of each search technique. Both the DSS search and the genetic algorithm are shown to be an order of magnitude more computationally efficient than the MPG search, making possible real-time implementation. In addition, the DSS search is shown to be the most effective technique at tracking a target at the lowest SNR levels-reliable tracking down to 5 dB (postprocessing SNR in a resolution cell) using a 5-frame sliding window is demonstrated, this being 6 dB better than the MPG search.     

On-Board Image Compression for the RAE Lunar Mission

The requirements, design, implementation, and flight performance of an on-board image compression system for the lunar orbiting Radio Astronomy Explorer-2 (RAE-2) spacecraft are described. The image to be compressed is a panoramic camera view of the long radio astronomy antenna booms used for gravity-gradient stabilization of the spacecraft. A compression ratio of 32 to 1 is obtained by a combination of scan line skipping and adaptive run-length coding. The compressed imagery data are convolutionally encoded for error protection. This image compression system occupies about 1000 cm2 and consumes 0.4 W.     

Correlation of macro and micro cardiovascular function during weightlessness and simulated weightlessness

The investigation of cardiovascular function necessarily involves a consideration of the exchange of substances at the capillary. If cardiovascular function is compromised or in any way altered during exposure to zero gravity in space, then it stands to reason that microvascular function is also modified. We have shown that an increase in cardiac output similar to that reported during simulated weightlessness is associated with a doubling of the number of post-capillary venules and a reduction in the number of arterioles by 35%. If the weightlessness of space travel produces similar changes in cardiopulmonary volume and cardiac output, a reasonable expectation is that astronauts will undergo venous neovascularization. We have developed an animal model in which to correlate microvascular and systemic cardiovascular function. The microcirculatory preparation consists of a lightweight, thermo-neutral chamber implanted around intact skeletal muscle on the back of a rat. Using this technique, the performed microvasculature of the cutaneous maximus muscle may be observed in the conscious, unanesthetized animal. Microcirculatory variables which may be obtained include venular and arteriolar numbers, lengths and diameters, single vessel flow velocities, vasomotion, capillary hematocrit anastomoses and orders of branching. Systemic hemodynamic monitoring of cardiac output by electromagnetic flowmetry, and arterial and venous pressures allows correlation of macro- and microcirculatory changes at the same time, in the same animal. Observed and calculated hemodynamic variables also include pulse pressure, heart rate, stroke volume, total peripheral resistance, aortic compliance, minute work, peak aortic flow velocity and systolic time interval. In this manner, an integrated assessment of total cardiovascular function may be obtained in the same animal without the complicating influence of anesthetics.     

Quiet,Discrete Auroral Arcs—Observations

Space Science Reviews - The icy moons of the outer Solar System harbor potentially habitable environments for life, however, compared to the terrestrial biosphere, these environments are...