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I'm not sure how much this will help you but I hope it gives some pointers.

Here is a Mathematica function which computes the probability under the distributions for a circle of radius separation/2 for two ships with a normal distribution of position with variance 0.2. A variance of 0.2 is close to the 95% certainly level.

In brief it defines a mixture distribution in 2 dimensions with covariance matrix {{0.2,0},{0,0.2}} (* other covariance matrices would account for elliptical distributions *). Forms the probability distribution function for that mixture and then numerically integrates it over the required range.

(* Uses absolute separation distance rotated to the x axis *)

probProximity[reportedSeparationMiles_, probabiityRangeMiles_] := 
 With[{dist = MixtureDistribution[{1, 1},
 {MultinormalDistribution[{-(reportedSeparationMiles/2),0}, {{0.2, 0}, {0,0.2}}], 
  MultinormalDistribution[{  reportedSeparationMiles/2, 0}, {{0.2, 0}, {0,0.2}}]}]}, 
  NIntegrate[
   PDF[dist][{x, y}] 
   Boole[Abs[\[Sqrt]((0 - x)^2 + (0 - y)^2)] <= probabiityRangeMiles/2], 
   {x, -(probabiityRangeMiles/2), probabiityRangeMiles/2}, 
   {y, -(probabiityRangeMiles/2), probabiityRangeMiles/2}]]

The probability distribution of position for two ships 5 miles apart with a 95% confidence of being within one mile of reported position.

Separation Distribution

For a range of 5 miles, the calculated value is

probProximity[5, 5]

0.464173

Here is the probability of proximity over a range of distances: Probability of separation

I'm not sure how much this will help you but I hope it gives some pointers.

Here is a Mathematica function which computes the probability under the distributions for a circle of radius separation/2 for two ships with a normal distribution of position with variance 0.2. A variance of 0.2 is close to the 95% certainly level.

In brief it defines a mixture distribution in 2 dimensions with covariance matrix {{0.2,0},{0,0.2}} (* other covariance matrices would account for elliptical distributions *). Forms the probability distribution function for that mixture and then integrates it over the required range.

(* Uses absolute separation distance rotated to the x axis *)

probProximity[reportedSeparationMiles_, probabiityRangeMiles_] := 
 With[{dist = MixtureDistribution[{1, 1},
 {MultinormalDistribution[{-(reportedSeparationMiles/2),0}, {{0.2, 0}, {0,0.2}}], 
  MultinormalDistribution[{  reportedSeparationMiles/2, 0}, {{0.2, 0}, {0,0.2}}]}]}, 
  NIntegrate[
   PDF[dist][{x, y}] 
   Boole[Abs[\[Sqrt]((0 - x)^2 + (0 - y)^2)] <= probabiityRangeMiles/2], 
   {x, -(probabiityRangeMiles/2), probabiityRangeMiles/2}, 
   {y, -(probabiityRangeMiles/2), probabiityRangeMiles/2}]]

The probability distribution of position for two ships 5 miles apart with a 95% confidence of being within one mile of reported position.

Separation Distribution

For a range of 5 miles, the calculated value is

probProximity[5, 5]

0.464173

Here is the probability of proximity over a range of distances: Probability of separation

I'm not sure how much this will help you but I hope it gives some pointers.

Here is a Mathematica function which computes the probability under the distributions for a circle of radius separation/2 for two ships with a normal distribution of position with variance 0.2. A variance of 0.2 is close to the 95% certainly level.

In brief it defines a mixture distribution in 2 dimensions with covariance matrix {{0.2,0},{0,0.2}} (* other covariance matrices would account for elliptical distributions *). Forms the probability distribution function for that mixture and then numerically integrates it over the required range.

(* Uses absolute separation distance rotated to the x axis *)

probProximity[reportedSeparationMiles_, probabiityRangeMiles_] := 
 With[{dist = MixtureDistribution[{1, 1},
 {MultinormalDistribution[{-(reportedSeparationMiles/2),0}, {{0.2, 0}, {0,0.2}}], 
  MultinormalDistribution[{  reportedSeparationMiles/2, 0}, {{0.2, 0}, {0,0.2}}]}]}, 
  NIntegrate[
   PDF[dist][{x, y}] 
   Boole[Abs[\[Sqrt]((0 - x)^2 + (0 - y)^2)] <= probabiityRangeMiles/2], 
   {x, -(probabiityRangeMiles/2), probabiityRangeMiles/2}, 
   {y, -(probabiityRangeMiles/2), probabiityRangeMiles/2}]]

The probability distribution of position for two ships 5 miles apart with a 95% confidence of being within one mile of reported position.

Separation Distribution

For a range of 5 miles, the calculated value is

probProximity[5, 5]

0.464173

Here is the probability of proximity over a range of distances: Probability of separation

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I'm not sure how much this will help you but I hope it gives some pointers.

Here is a Mathematica function which computes the probability under the distributions for a circle of radius separation/2 for two ships with a normal distribution of position with variance 0.2. A variance of 0.2 is close to the 95% certainly level.

In brief it defines a mixture distribution in 2 dimensions with covariance matrix {{0.2,0},{0,0.2}} (* other covariance matrices would account for elliptical distributions *). Forms the probability distribution function for that mixture and then integrates it over the required range.

(* Uses absolute separation distance rotated to the x axis *)

probProximity[reportedSeparationMiles_, probabiityRangeMiles_] := 
 With[{dist = MixtureDistribution[{1, 1},
 {MultinormalDistribution[{-(reportedSeparationMiles/2),0}, {{0.2, 0}, {0,0.2}}], 
  MultinormalDistribution[{  reportedSeparationMiles/2, 0}, {{0.2, 0}, {0,0.2}}]}]}, 
  NIntegrate[
   PDF[dist][{x, y}] 
   Boole[Abs[\[Sqrt]((0 - x)^2 + (0 - y)^2)] <= probabiityRangeMiles/2], 
   {x, -(probabiityRangeMiles/2), probabiityRangeMiles/2}, 
   {y, -(probabiityRangeMiles/2), probabiityRangeMiles/2}]]

The probability distribution of position for two ships 5 miles apart with a 95% confidence of being within one mile of reported position.

Separation Distribution

For a range of 5 miles, the calculated value is

probProximity[5, 5]

0.464173

Here is the probability of proximity over a range of distances: Probability of separation