Cooperative sensing based on mobile networks has an important application prospect in the 6G domain because it separates the transmitter from the receiver, thus avoiding the problem of self-interference. However, due to the extended detection range, the accuracy of the target angle estimation becomes critical, directly impacting the accuracy of target localization. To address these challenges, this paper presents a novel cooperative sensing approach leveraging atomic norm minimization for range and angle estimation, followed by a target pairing mechanism. The proposed method achieves high-resolution range and angle estimates while reducing computational complexity. Simulations validate the effectiveness of positive atomic norms in accurately estimating range and angle frequencies to determine target positions. This work establishes a robust foundation for accurate and efficient target localization, contributing to the advancement of 6G cooperative sensing technologies.