The Application of Some Thermodynamic Principles to Estimate the Likelihood of Life in the Solar System, Part I Final Report, Feb. 1965 - Feb. 1966
Thermodynamic principles used to estimate likelihood of life in solar system
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Thermodynamic principles used to estimate likelihood of life in solar system
Theoretical model and application of error rate reduction of parity checked telemetry data by likelihood deletion strategy
Implementation and performance of maximum likelihood detector in channel with intersymbol interference
Maximum likelihood method for fitting sum of expotentials to experimental data
Waveform distortion in maximum likelihood Darlington detector for M-ary pulse frequency modulation signals
Maximum likelihood techniques for design of optimum star trackers that determine position and magnitude
Maximum likelihood receiver for digital data transmission via pulse amplitude modulation
Limiting distribution of likelihood ratio statistic under class of local alternatives and minimum average risk decision procedures for noncentral chi-square distribution
Maximum likelihood identification of stochastic linear systems
Likelihood of life in solar system estimated from entropy and mass transport mechanisms
Digital data transmission maximum-likelihood receiver design minimizing effects of additive random noise and nearest neighbor intersymbol interference
Tables of maximum likelihood estimating functions for singly truncated and singly censored samples from normal distribution
Maximum likelihood receiver /MLR/ to detect pulsed signal propagated through turbulent medium, assuming optical propagation over long path in atmosphere
Computer program for mixed analysis of variance model based on maximum likelihood
A method of parameter extraction for stability and control derivatives of aircraft from flight test data, implementing maximum likelihood estimation, has been developed and successfully applied to actual lateral flight test data from a modern sophisticated jet fighter. This application demonstrates the important role played by the analyst in combining engineering judgment and estimator statistics to yield meaningful results. During the analysis, the problems of uniqueness of the extracted set of parameters and of longitudinal coupling effects were encountered and resolved. The results for all flight runs are presented in tabular form and as time history comparisons between the estimated states and the actual flight test data.
A new method of extracting aircraft stability and control derivatives from flight test data is developed based on the maximum likelihood cirterion. It is shown that this new method is capable of processing data from both linear and nonlinear models, both with and without process noise and includes output error and equation error methods as special cases. The first application of this method to flight test data is reported for lateral maneuvers of the HL-10 and M2/F3 lifting bodies, including the extraction of stability and control derivatives in the presence of wind gusts. All the problems encountered in this identification study are discussed. Several different methods (including a priori weighting, parameter fixing and constrained parameter values) for dealing with identifiability and uniqueness problems are introduced and the results given. The method for the design of optimal inputs for identifying the parameters of linear dynamic systems is also given. The criterion used for the optimization is the sensitivity of the system output to the unknown parameters. Several simple examples are first given and then the results of an extensive stability and control dervative identification simulation for a C-8 aircraft are detailed.
A maximum likelihood parameter estimation technique for the self bit synchronization problem is investigated. The input sequence to the bit synchronizer is a sequence of binary overlapping PCM/NRZ signal in the presence of white Gaussian noise with zero mean and known variance. The resulting synchronizer consists of matched filters, a transition device and a weighting function. Finally, the performance is examined by Monte Carlo simulations.
A computer program (Langley program C1123) has been developed for estimating aircraft stability and control parameters from flight test data. These parameters are estimated by the maximum likelihood estimation procedure implemented on a real-time digital simulation system, which uses the Control Data 6600 computer. This system allows the investigator to interact with the program in order to obtain satisfactory results. Part of this system, the control and display capabilities, is described for this program. This report also describes the computer program by presenting the program variables, subroutines, flow charts, listings, and operational features. Program usage is demonstrated with a test case using pseudo or simulated flight data.