随着人们对通信质量和速度的要求越来越高，传统均衡技术暴露出了越来越多的缺点。混合盲均衡算法因为其高效、适应度高的特点，成为了均衡领域的一个热点。该文提出了一种基于小样本重用的新型混合盲均衡算法。算法利用小样本重用技术重新设计均衡器加权系数，提高算法收敛效率，并引入常范数盲均衡算法，通过计算机仿真验证了了新算法有效性，可以极大的降低系统的稳态误差，提高收敛效率。%The traditional equalization technologies expose some shortages while people put forward higher demand to qualityof communication system and transmission rate. The mixed algorithm is becoming a research hotspot because of its efficiency and high adaptive fitness. A new mixed norm algorithm for blind equalization based on small sample reusing is proposed in this paper. The new algorithm can improve the convergence efficiency under the help of the weight coefficients redesign which utilizing the technology of small sample reusing and the constant norm algorithms. It will greatly reduced the steady state error of the system and improve the convergence ratio.The validity of the new algorithm is verified by the computer simulation.
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