Patent ID: 11917598
Assignee: XIDIAN UNIVERSITY
Field: Digital communication (Electrical engineering)
Classification: CPC H | IPC H

Claim 6:
7. The method of claim 3, wherein the channel LOS/NLOS information about the second frequency band is calculated by:
8a) calculating a peakness Kh of a channel impulse response of the second frequency band:, K
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  ,, where, h(t) is a channel power gain, μ|h| is a first moment of the channel power gain h(t), and σ|h| is a second moment of the channel power gain h(t);
8b) calculating a slope Sk of the channel impulse response of the second frequency band:, S
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  ,, where, N is a number of multipath;
8c) calculating a Rice coefficient K of the channel impulse response of the second frequency band:, K
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  ,, where, h1(t) is a channel power gain for a first path, hn(t) is a channel power gain for other multipath;
8d) calculating a Kolmogorov-Smirnov (K-S) test value Z:, Z
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  ,, where, hi is a power gain of an ith channel, and F(hi) represents an accumulated experience distribution function for a sample set hi;
8e) calculating a fuzzy membership matrix  for all channels' characteristic parameters:, ℜ
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    [
    
     
      
       
        ℜ
        1
       
      
     
     
      
       
        ℜ
        2
       
      
     
     
      
       
        ℜ
        3
       
      
     
     
      
       
        ℜ
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        r
        
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         ,
         1
        
       
      
      
       
        r
        
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         1
        
       
      
     
     
      
       
        r
        
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        r
        
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        r
        
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        r
        
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        r
        
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    ], where, rL,1 is a fuzzy membership coefficient of a first channel characteristic parameter, the peakness Kh, to the channel LOS,
rL,2 is the fuzzy membership coefficient of a second channel characteristic parameter, the slope Sk, to the channel LOS,
rL,3 is the fuzzy membership coefficient of a third channel characteristic parameter, the Rice coefficient K, to the channel LOS,
rL,4 is the fuzzy membership coefficient of a fourth channel characteristic parameter, the Kolmogorov-Smirnov (K-S) test value Z to the channel LOS,
rN,1 is the fuzzy membership coefficient of the first channel characteristic parameter, the peakness Kh, to the channel NLOS,
rN,2 is the fuzzy membership coefficient of the second channel characteristic parameter, the slope Sk, to the channel NLOS,
rN,3 is the fuzzy membership coefficient of the third channel characteristic parameter, the Rice coefficient K, to the channel NLOS, and
rN,4 is the fuzzy membership coefficient of the fourth channel characteristic parameter, the Kolmogorov-Smirnov (K-S) test value Z, to the channel NLOS;
8f) calculating a set of weighted coefficients W of the channel characteristic parameters:

W=[w1,w2,w3,w4],, where, w1 is the weighted coefficient for the first channel characteristic parameter, the peakness Kh,
w2 is the weighted coefficient for the second channel characteristic parameters, the slope Sk,
w3 is the weighted coefficient for the third channel characteristic parameter, the Rice coefficient K, and
w4 is the weighted coefficients for the fourth channel characteristic parameter, the Kolmogorov-Smirnov (K-S) test value Z; and
8g) calculating a fuzzy comprehensive evaluation matrix A:

A=W×=[aL,aN],, where, aL is a fuzzy membership degree of the channel LOS, and aN is a fuzzy membership degree of the channel NLOS.