Aiming at the problem that a large number of array elements are needed for uniform arrays to meet the requirements of direction map, a sparse array pattern synthesis method is proposed in this paper based on the sparse sensing theory. First, the Orthogonal Matching Pursuit ( OMP ) algorithm and the Exact Augmented Lagrange Multiplier ( EALM) algorithm were improved in the sparse sensing theory to obtain a more efficient Orthogonal Multi?Matching Pursuit ( OMMP ) algorithm and the Semi?Exact Augmented Lagrange Multiplier ( SEALM) algorithm. Then, the two improved algorithms were applied to linear array and planar array pattern syntheses respectively. Results showed that the improved algorithms could achieve the required pattern with very few elements. Numerical simulations verified the effectiveness and superiority of the two synthetic methods. In addition, compared with the existing sparse array synthesis method, the proposed method was more robust and accurate, and could maintain the advantage of easy implementation.