A Fingerprint Localization Method Based on Robust Sparse Representation Clustering
A technology of sparse representation and fingerprint positioning, applied in the field of wireless positioning, it can solve the problems of sensitivity to noise and data, and achieve the effect of strong robustness and high positioning accuracy
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[0029] The present invention is further described below in conjunction with embodiment.
[0030] by figure 1 As an example, a fingerprint location method based on robust sparse representation clustering includes the following steps:
[0031] 1) After processing the offline sampled data, the original database is obtained
[0032]
[0033] where R ij Indicates that the i-th access point receives the fingerprint strength of the j-th sensor, 1≤i≤M, 1≤j≤N, M represents the number of offline sampling points, and N represents the number of sensors in the sampling area.
[0034] 2) The optimized fingerprint library is obtained by affine propagation clustering
[0035]
[0036] where S ab Indicates that the a-th class center receives the fingerprint strength of the b-th sensor, 1≤a≤P, 1≤b≤N, and P represents the number of classes.
[0037] 3) Using the sparse prior information of the test points, the fingerprint strength of the test points is sparsely expressed through the R...
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