Deconvolution can dramatically improve the spatial resolution and the dynamic range of beamforming maps, comparing with the conventional method. However, discrepancies usually exist in the result of different deconvolution methods although they are feed with the same input data. In this paper, in order to find out the most suitable method to deal with a specified problem, a certified analysis criterion is revisited and the performance of three methods CLEAN-SC, FFT-FISTA and FFT-NNLS are examined with a rectangular microphone array. A set of simulations are carried out with different sound source locations, frequencies and numbers. Moreover, the calculated output of forementioned methods are compared with the parameters defined beforehand. In experiments, some loudspeakers are used to validate simulation results. Specifically, due to the difficulty of obtaining the correct acoustic quantities of loudspeakers, the output of Cross Spectral Matrix (CSM) beamforming method is set as the reference so that the behavior of deconvolution methods can be easily investigated. It is shown that the performance of deconvolution methods is dependent on the given conditions of sound sources.