The invention discloses a signal two-dimensional DOA and frequency joint estimation method applied to an L-type array. The method comprises the following steps of (1) constructing a signal received bythe L-type array to a parallel factor trilinear model; (2) carrying out elementary row transformation on the model and carrying out block compression according to a compressed sensing theory; (3) using a trilinear alternating least square algorithm to carry out cyclic iterative decomposition on the compressed model until convergence so as to obtain the estimation of a parameter matrix; and (4) constructing the complete dictionary of frequency and angle estimations, and successively using a sparse recovery method to obtain the frequency and two-dimensional DOA estimations of a signal. The method has advantages that (1) the method is suitable for a uniform L array and a non-uniform L array, and the array is easy to realize during an actual application; (2) the calculated amount of an algorithm in the invention is small and simultaneously a capacity requirement to data storage is low; and (3) in the algorithm of the invention, by means of the parallel factor model, paired angle and frequency estimations can be acquired, and extra pairing does not need to be performed.