Performance Evaluation for Parameter Estimation with the Application of Fuzzy Comprehensive Evaluation

Parameter estimating is the fundamental mission of a radar. However, due to the complicated scenario and the maneuvering ability of the target, different parameter estimation methods will maintain various performances. Unfortunately, there is no practical performance evaluation method to check this performance variation. In view of the requirement of modern radar technology, evaluation indexes are established based on fuzzy theory in this paper. Then, an evaluation model based on fuzzy comprehensive evaluation is deduced. Finally, with the simulated data, evaluation experiment is performed. There are two kinds of parameter estimation methods being evaluated: Fourier transform algorithm and correlation method. These two methods are all used to estimate the features of the radar cross section (RCS). According to the simulation result, Fourier transform algorithm maintains better performance even under low signal to noise ratio (SNR). This conclusion is helpful in the related work. The simulation result shows that the performance evaluation method in this paper is practical. This work is beneficial not only to the performance evaluation of a parameter estimation method, it is also helpful for the perfection of radar target recognition technology.