The invention discloses a broadband signal source positioning method based on subspace weight sparse recovery. The method comprises steps that multiple broadband signals having unknown correlation in the space are irradiated to a linear sensor array formed by multiple isotropy sensors, and a complex observation matrix is acquired according to the linear sensor array; a target signal arrival angle is estimated under a compression sensing framework according to the complex observation matrix to carry out reconstruction to acquire a first signal model; truncated singular value decomposition of the complex observation matrix is carried out to construct a weight matrix; a weight vector is calculated according to the weight matrix; dimensional reduction is carried out according to the first signal model to acquire a second signal model; the second signal model is optimized to acquire a third presentation form of the target signal under the compression sensing framework; a spectral function is calculated according to the third presentation form of the target signal under the compression sensing framework to acquire an estimate of the target signal arrival angle. The method is advantaged in that decorrelation capability of a compression sensing algorithm and estimation precision of an MUSIC algorithm are realized.