The invention discloses a 
relative motion trajectory tracking-based Wi-Fi 
gesture recognition method. The method comprises the following steps of: firstly, detailedly analyzing an error source included in a phase of 
channel state information (CSI) obtained by a 
system, and completing error 
elimination by utilizing estimated values of a slope and an intercept; secondly, putting forward a new data fusion-based iterative interference suppression 
algorithm by utilizing the error eliminated 
channel state information so as to complete 
interference elimination of reflected signals and direct signalsbetween a 
transmitter and a 
receiver; thirdly, capturing signals reflected by a motion gesture by the 
system on the basis of interference suppression, constructing a 
virtual antenna array by utilizingcontinuous time signals received in a 
time domain, estimating wave incoming directions of the signals by utilizing a two-dimensional space smooth MUSIC 
algorithm, and reconstructing a motion trajectory of the gesture; and finally, completing 
gesture recognition by utilizing a 
Gaussian kernel-based 
support vector machine classifier according to the reconstructed motion trajectory. Experiments andanalysis results prove that the iterative interference suppression 
algorithm is capable of effectively suppressing interference signals, and a 
virtual array technology is put forward, so that overheads of reception-end antennas can be greatly decreased on the basis of improving the resolution and then the reconstruction of gesture motion trajectories is completed; and meanwhile, the method is notonly capable of completing single-hand 
gesture recognition, but also capable of correctly completing double-hand gesture recognition, and can better satisfy the requirement for gesture recognition inman-
machine interaction.