Aiming at the problem that the existing hardware-based link quality estimators cannot solve the problem of large fluctuations of physical layer parameters in fast estimation

a fast link quality estimation scheme based on exponentially weighted Kalman filtering is proposed. It obtains more stable estimated values of received signal strength indicator（ RSSI） using exponentially weighted Kalman filter and then computes to obtain signal-tonoise ratios accordingly. Link quality is estimated by the mapping relation between signal-to-noise ratio and packet reception ratio. Experimental results show that

accurate link quality estimation can be obtained quickly only with a few data packets. Compared with similar estimation methods

the estimation error of the proposed one is reduced by1. 67 %～ 16. 53 % under different link qualities.