The invention discloses a sparse nonparametric body area channel probability representation method. The method comprises the following steps: S1, adopting an electromagnetic wave transceiver in a body area network to collect data, S2, establishing an empirical distribution function and solving the empirical distribution function through a step function, S3, adopting an empirical distribution function approximate density function and establishing a regression function, S4, solving the regression function through linear programming, S5, obtaining a corresponding probability function through derivation of the regression function, and S6, evaluating and analyzing an obtained sparse nonparametric probability model. A representation model proposed in the method is not restricted by specific propagation circumstances, and is more applicable to wireless communication in a body area network because of nonparametric property. The method overcomes the problem that the requirements on simple capacity of traditional models are rigorous, ensures that coefficients of a large amount of linear combinations are zero by controlling the quantity of support vectors during the process of regression, and realizes the sparsification of regression coefficients.