In recent years, China’s colleges have made gratifying achievements in the funding work of poor students, but there are still some problems. In order to improve the accuracy of the funding work, the performance of the poor students in colleges should be evaluated effectively. This paper uses the design idea based on the whole process, and the fuzzy comprehensive evaluation method and the hierarchical analysis method, and constructs the performance evaluation index system of the poor students in colleges. Then, taking the performance evaluation of poor students’ support in Jiangxi University of Technology as an example, according to China’s national conditions, the empirical analysis shows that the poverty students’ support work in Jiangxi University of Technology is at the general level, and can be improved from four aspects: perfecting the mechanism of identifying poor students, broadening the funding channels, perfecting the supervision mechanism of financial aid for poor students, and combining financial aid with mental support. The research of this paper is of great significance to improve the management level of the funding of poor students in colleges and universities.
For the problem of influence of background level on estimating target spatial azimuth distribution value, a method of MVDR spatial spectrum estimation based on Richardson-Lucy is proposed. The output results of MVDR spatial spectrum estimation method were deconvolution with point scattering function and Richardson-Lucy iterative method of image restoration, and the background level and its influence on estimating target spatial azimuth distribution value was reduced. The results of measured data show that, this method is a post-processing method, inherits the high resolution performance of MVDR spatial spectrum estimation method, has more sharp peak value, when signal to noise ratio is lower, has better performance of estimating target spatial azimuth distribution value.
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