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Tonal Interference

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Tonal Interference

For mathematical convenience, we assume that the narrowband interference signal consists of m complex sinusoids of the form

Equation 7.78

graphics/07equ078.gif


where Pl and fl are the power and normalized frequency of the lth sinusoid, and the {Fl} are independent random phases distributed uniformly on (0,2p). The covariance matrix Ri of the multitone interference signal i can be represented as

Equation 7.79

graphics/07equ079.gif


where

Equation 7.80

graphics/07equ080.gif


Denote graphics/410equ01.gif,and graphics/410equ02.gif. Then graphics/410equ05.gif, and hence we have

Equation 7.81

graphics/07equ081.gif


where graphics/410equ02.gif. According to (7.77), let graphics/410equ04.gif. Then from (7.81) we can write

Equation 7.82

graphics/07equ082.gif


Assuming that the spread-spectrum user has a random signature sequence, we next derive expressions for the expected values of the output SINR with respect to the random signature vector s, for several special cases.

Case 1: m = 1. We have graphics/411equ01.gif, and

Equation 7.83

graphics/07equ083.gif


where we have used graphics/411equ02.gif and graphics/411fig10.gif. Substituting these into (7.82), we obtain

Equation 7.84

graphics/07equ084.gif


Therefore, when N is large, the energy of a strong interferer is almost completely suppressed by the linear MMSE detector.

Case 2: m = 2. From (7.81) we have

Equation 7.85

graphics/07equ085.gif


where graphics/411equ04.gif. Now using (7.82), we obtain

Equation 7.86

graphics/07equ086.gif


Using (7.85), we have

Equation 7.87

graphics/07equ087.gif


where graphics/411equ05.gif, and

Equation 7.88

graphics/07equ088.gif


where graphics/411equ06.gif. On the other hand, using (7.85), we can write

Equation 7.89

graphics/07equ089.gif


Substituting (4.55) and (7.89) into (7.86), we then have

Equation 7.90

graphics/07equ090.gif


Again we see that for large N, the interfering energy is almost completely suppressed. In general, it is difficult to obtain an explicit expression for E {SINRm} for m > 2. However, for the special case when the {gl} are mutually orthogonal, a closed-form expression for E {SINRm} can easily be found.

Case 3: Orthogonal {gl}. Assume that

Equation 7.91

graphics/07equ091.gif


This condition is met, for example, when fl - fK is a multiple of 1/N for all l K. Under this condition of orthogonality, it follows straightforwardly that

Equation 7.92

graphics/07equ092.gif


The expected value of the output SINR with respect to the random signature vector s is

Equation 7.93

graphics/07equ093.gif


where graphics/412equ01.gif, and graphics/412equ02.gif. Figure 7.10 shows some numerical examples of tone suppression by the linear MMSE detector. In both plots the SINRs without interference are 10dB (after despreading). Each curve in the plots corresponds to one set of three-tone (or seven-tone) frequencies {fl} randomly chosen. (The vectors {gl} are not necessarily orthogonal.) Interestingly, it is seen from Fig. 7.10 that the output SINRs are centered at the value given by (7.93).


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