Aiming at the problem that at present

identification accuracy of the unmanned aerial vehicle（ UAV）for pedestrian is not high

data transmission is unstable

and it is susceptible to interference and the existing UAV target tracking system generally uses satellite signals for positioning

and the cost of data transmission is high

and has limitations

a target tracking and localization algorithm for UAV based on regularized pairwise constraint component analysis is proposed. Regularized paired constraint component analysis realizes the accurate identification of the target by the UAV

and realizes stable and real-time transmission of big data by using Wi Fi

complement with satellite-based positioning algorithm. On this basis

the spread spectrum communication（ SSC） is used to accurately transmit important data

which improves the anti-interference performance of the system. The experimental results show that the algorithm can not only effectively identify and track target

but also transmit the attitude parameters and target detection results of the UAV in real-time.