Bio-inspired polarization navigation is a new navigation method. More polarization information and distribution pattern will be gathered through imaging the scattered skylight and it will enhance the precision and anti-interference ability of polarization navigation sensors. The measurement noise of the polarization angle based on Stokes parameters is modeled and the simulation is conducted according to the principle of the polarization measurement of Stroke parameters and the noise model of imaging cameras. The result shows that to enhance the signal-to-noise ratio of cameras will enhance the quality of the polarization imaging significantly. The deviation of the measurement of the polarization angle will better than 1° per pixel when the signal-to-noise ratio is higher than44 d B. The statistical distribution characteristics for different polarization angle incident lights is obtained under the condition that the analyzers is arranged as 0

60°

120° and 0

45°

90°. The measurement noise of the analyzers arrangement of 0

60°

120° is less using the same signal-to-noise ratio cameras though the computational complexity of the arrangement of 0

60°

120°is more complex than the arrangement of 0

45°

90°. The conclusion will be the reference for the construction of the polarization imaging facilities for polarized skylight

its error analysis and compensation technology.