Incremental Discriminant Analysis on Interval-Valued Parameters for Emitter Identification

Algorithm 1

Incremental interval-valued parameter analysis.

IDAIP method

Input Parameters:

(i) : mean value matrix at time

(ii) : variation matrix at time

(iii) : class distribution vector at time

(iv) : discriminating power matrix at time

(v) : new observations from emitter type at time

Output:

(i) : the updated mean value matrix at time

(ii) : the updated variation matrix at time

(iii) : the updated class distribution vector at time

(iv) : the updated discriminating power matrix at time

Begin

(1) for each new observation at time do

(2) 

(3) 

(4) for each interval-valued measurement of parameter of do

(5)  

(6)  

(7) end

(8) end

(9) for each pair of emitter types - do

(10)  for each signal parameter do

(11)   conduct the class discriminant analysis

(12)   if is more discriminating than that in then

(13)    update

(14)   end

(15)  end

(16) end

(17) output the updated , , and .