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In this work, the NLOS error is modeled as a Gaussian random variable with positive mean.
Phase error is modeled as a zero-mean Gaussian random variable.
In the literature, the bias error is modeled as a random variable which has an exponential or Gaussian distribution.
The other tools remain the same: turbo codes are used for the WZFs; the correlation error is modeled as a Laplacian random variable.
Assume that the measurement noise in the LOS condition has a zero mean Gaussian distribution N ( 0, σ n 2 ), while the NLOS error is modeled as a biased Gaussian distribution N ( μ NLOS, σ NLOS 2 ) [3, 4, 7].
In the simulation, we suppose that the phases of all the sensors are synchronized at the beginning of the beamforming, namely, for all in (12), and frequency error is modeled as a zero-mean Gaussian random variable.
Similar(53)
Two errors were modeled as well.
NLOS errors are modeled as the Rayleigh distribution.
When NLOS errors are modeled as Exponential distribution [32]: (41).
To verify this characteristic, NLOS errors are modeled as: (42).
In this simulation, NLOS errors are modeled as Rayleigh distribution [32]: (40).
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