Abstract—In frequency-sharing weather radar system where multiple radars reside in the same frequency channel, the reflectivity estimation error is dominated by the noise and the interference signals. Prior to the reflectivity estimation process, the CLEAN algorithm iteratively estimates the reflection channel, and therefore the stopping criterion of the CLEAN algorithm determines the reflectivity estimation performance. We propose the noise and interference power estimation scheme from the received signal in the presence of target, interference, and noise signals. The estimated noise pulse interference power is taken to the threshold in the stopping criterion of the CLEAN algorithm. Simulation results show that the proposed scheme outperforms the conventional scheme in terms of the reflectivity estimation performance. 
 

Index Terms—frequency-sharing weather radar, CLEAN algorithm, reflectivity estimation