en 5-Radar and Sonar Radar and Sonar Research Paper Research Paper <span style="font-size:10.0pt"><span style="font-family:&quot;Times New Roman&quot;,serif">Noise parameters in many target tracking projects are assumed as known factors which is a main challenge because of uncertainty in measurement and state-model noise. Thus, many papers are focused on the accurate estimation of noise statistics. This paper is concentrated on this subject where it is tried to present three simple efficient methods in this regard. Estimation using n-step prediction, applying Kalman filter covariance and using Gamma distribution for noise parameters are the main concepts of the three proposed methods. Simulation results show the efficiency of all methods compared to other methods in the literature where the Gamma-distribution-based method is the most efficient work among other suggested ones in term of estimation error.</span></span> Noise Covariance Matrix Estimation, Target Tracking, n-step Prediction, Kalman Gain Covariance, Gamma-distribution. 3685 3685 http://ijeee.iust.ac.ir/browse.php?a_code=A-10-3157-1&slc_lang=en&sid=1 Sahbasadat Rajamand srajamand@gmail.com 1800319475328460017623 1800319475328460017623 No Department of Electrical Engineering, Ker.C., Islamic Azad University, Kermanshah, Iran. Abdulhamid Zahedi zahedi@kut.ac.ir 1800319475328460017624 1800319475328460017624 Yes Department of Electrical Engineering, Kermanshah university of Technology, Kermanshah, Iran.