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中文摘要：
该文提出一种改进的QAM信号的多模盲均衡算法，其利用发送信号的实部（或虚部）信息构造代价函数。并且，提出了通过共轭梯度算法得到均衡器最优权的算法，该算法具有二次收敛性，与传统恒模算法和多模算法相比较，有非常快的收敛速度和非常少的计算量，并且均衡效果相当。最后，通过误码率和收敛速度分析该算法的可靠性和有效性，通过计算机仿真证明了该算法的有效性。
英文摘要：
An improved multimodulus blind equalization algorithm for QAM signal is presented. The real part （imaginary part） information is used to construct cost function. Moreover, conjugate gradient algorithm is proposed to optimize the equalizer coefficients. With its equalization performance comparable to the conventional Constant Modulus Algorithm （CMA） and MultiModulus Algorithm （MMA）, the proposed algorithm is quadratic convergent and has the advantages of better convergent performance and less computational complexity. Finally, the reliability and validity of this algorithm are analyzed by Bit Error Rate （BER） and rate of convergence. Its good performance is verified by simulation results.
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