In　order　to　improve　the　performance　of　the　diagonal　loading-based　minimum　variance　distortionless　response　(MVDR)　beamformer,　a　full　loading-based　MVDR　beamforming　method　is　proposed　in　this　paper.　Different　from　the　conventional　diagonal　loading　methods,　the　proposed　method　combines　the　backward　correction　of　the　steering　vector　of　the　target　source　and　the　reconstruction　of　the　covariance　matrix.　Firstly,　based　on　the　linear　combination,　an　appropriate　full　loading　matrix　was　constructed　to　correct　the　steering　vector　of　the　target　source　backward.　Secondly,　based　on　the　spatial　sparsity　of　the　sound　sources,　an　appropriate　loading　matrix　was　constructed　to　further　suppress　interferences.　Thirdly,　the　spatial　response　power　was　utilized　to　derive　a　more　accurate　direction　of　arrival　(DOA)　of　the　target　source,　which　is　helpful　for　obtaining　a　more　accurate　steering　vector　of　the　target　source　and　a　more　effective　covariance　matrix　iteratively.　The　simulation　results　show　that　the　proposed　method　can　effectively　suppress　interferences　and　noise.