In order to estimate the LCC of new pattern ground radar equipment more logically, exactly and effectively, a right method should be chosen in estimation. In allusion to that there are many difficulties in common methods of estimating the LCC of the ground radar equipment, such as the heavy estimation workload, the estimation precision with quite stronger subjectivity and uncertainty, and the existence of great limitations in the process of the model and emulation, and from BP nerving network, a method is proposed based on BP nerving network in estimating the LCC. By using this method, the full use of the computer software resources is done and a nerving network model of estimating the LCC of the ground radar equipment is set up. In this paper, the Matlab software is adopted to build up an implement function of typical network. Firstly, the author uses the expenditure data similar to the former one of the ground radar equipment as a sample.Then trains the data and modulates the coefficient.Finally, the author estimates the factual expenditure based on the corresponding data. With the estimating and analyzing example, and through comparing with the common estimation method, the result shows that the model can be applied to estimating the LCC of new pattern ground radar equipment and has a higher precision in estimation.