In this paper, we establish a new compressed sensing model, specifically the $\ell_1-\ell_G$-minimization model. We derive the necessary and sufficient conditions for the recovery of fixed sparse vectors using the $\ell_1-\ell_G$ local minimization model. Building upon this foundation, we further obtain its equivalent condition.