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In this paper, a fuzzy c-means algorithm is proposed for jamming detection at the base station in cellular networks. The jamming detection process itself uses an improved LCR based Doppler shift estimation algorithm by using only inherent information which is available in common receivers without any excessive hardware requirements. The estimation of channel Doppler shift at base station in cellular networks helps base stations in channel estimation, which effectively improves jamming detection performance. The performance of the proposed algorithm in a TETRA network is modeled and simulation shows acceptable results in a wide range of user terminal velocities.