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The Global System for Mobile communication (GSM) radio network's latest development status and its prominent interference problems were discussed. The limitations of the cellular radio network analysis using the traditional drive test and frequency scanning technology were discussed, which led to the inaccurate interference location and inefficient interference optimization. A new training sequence parallel detection technology base on timeslot sliding window was proposed. The timeslot sliding window mechanism and the training sequence parallel correlative detection algorithms were discussed in detail, and the advantage of these technologies was discussed though comparative analysis. With the successful application cases of the engineering practice in Zhejiang Province of China, the important value of the new technology proposed in this paper in the radio network planning and optimization engineering applications was proved.

A training sequence parallel detection technology based on timeslot sliding window