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Aiming at the shortcomings of heavy workload in the off-line phase,limited positioning accuracy and poor robustness of indoor location fingerprint positioning technology,an improved fingerprint matching algorithm based on linear interpolation was proposed.Compared with the traditional location fingerprint positioning technology,it reduced the overall workload as well as the bad effects caused by muti-path effect.At last,a lab scene was set up to test the positioning performance of this algorithm.It is shown by the test that the average positioning accuracy of this algorithm has been improved by 34.25% compared with that of WKNN method,and the positioning accuracy error ratio of most points to be test is within 0.4 m,the positioning accuracy,robustness and adaptability in environment change were demonstrated.

As people's demand for location based service（LBS）is increasing, indoor localization has gradually becomes a hot research topic in the field of user location. And the fingerprint orientation is very much popular among most of the researchers, not only because it has high positioning accuracy and strong universality, but also because it doesn't need additional equipment. Firstly, the positioning principle of various kinds of main stream indoor location fingerprint positioning technology was summarized. Then the principle of the existing indoor localization algorithm and its developing condition at present were summarized. Finally, by setting up buildings channel test scenes, all kinds of typical indoor localization algorithm are testified, validated, compared and analyzed. The reference was provided for researchers and people who is researching on indoor location technology.