The invention provides a target detection method based on two-dimensional sliding window robust space-time self-adaptive
processing, which can increase the accuracy of target detection. The target detection method comprises the steps of : step 1, receiving echo data through an airborne
radar; step 2, carrying out space-time sliding window
processing on the echo data; step 3, establishing a target apparent steering vector error boundary matrix; step 4, calculating an
autocorrelation matrix of projectional component of the echo data after space-time sliding window
processing on an orthogonal complementary space of a subspace formed by the target; step 5, calculating a correlation matrix after
diagonal loading of the
autocorrelation matrix; step 6, solving a weight vector; step 7, judging whether a module value of a
column vector obtained through multiplying a
conjugate transpose matrix of the boundary matrix by the weight vector is less than 1, if so, increasing loading factors and then executing step 5 and step 6, otherwise, regarding the weight vector as the
optimal weight vector; and step 8, constructing a filter by utilizing the
optimal weight vector so as to filter the echo data after space-time sliding window processing, and acquiring target echo data.