N-Station Credibility Gap.
PACIFIC MISSILE RANGE POINT MUGU CALIF
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The report presents a mathematical method for testing the hypothesis that N stations are tracking the same object. This test suggests a scheme for editing and smoothing the data used in N-station solution tracking techniques. The assumptions are that 1 The tracking of each station is independent of the tracking of any other station. 2 The probability density function for each station is gaussian. The probability density function for the block of data from N station is determined by taking the product of the probability functions of each station. The confidence interval with the associated probability used to test the hypothesis is obtained using this block probability density function. Plots and a list showing confidence interval versus probability for gaussian probability functions of dimensions from 1 to 40 are included. Author
- Statistics and Probability
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