基于量子Grover算法的MIMO-OFDM系统信号检测技术的研究 第14页
MIMO-OFDM系统中的信号检测技术是一项正在迅速发展的技术，它的研究范围远远不止本论文所涉及的几个方面。作者认为下列问题还可以值得进一步的研究：
（1）量子Grover搜索算法具有广阔的用途，对Grover算法的改进仍是值得研究的课题，以达到最快搜索并且几步迭代就能以概率恒为1搜索到目标解。
（2）还可以将信号检测与信道编码技术结合起来，即在系统的发送端加入空时块码(STBC:Space-time Block Codes)或空时格码((STTC:Space-time Trellis Codes)或Turbo码或LDPC码等，以提高系统的分集增益及传输速率[33-35]；还可以在接收端采用软解码(soft decoding)和迭代解码(iterated decoding)，以降低一定的计算复杂度和提高系统的有效性[36-38]。
（3）此外，还可以将信道估计与信号检测技术结合起来[39-41]。这是因为，我们在研究信号检测时通常假定接收端己经完全准确地知道了信道特性，而且假定信道在一定时间内保持不变。但是事实却并非如此，如果信道估计存在误差，那么必然导致信号检测的不准确。所以，联合考虑信号检测和信道估计问题是很有前景的研究方向。
总之，MIMO-OFDM系统中的信号检测技术是一个极具探讨意义的研究领域。随着第四代移动通信系统的发展，各类检测技术必将获得更为广泛的关注和深入的发展。
致 谢
衷心感谢我敬爱的李X导师近三年来对我的悉心教诲，感谢李老师在生活上给予的关心，学业上给予的指导。李X老师严谨的治学态度，不仅对我在这期间进行研究工作和学习有很大的帮助和启迪，还将对我今后的博士学习和工作产生深远的影响，使我受益终身。她对科学研究的热情和积极进取的人生态度都深深地感染着我，使我在面对困难时，能够不畏挫折而继续前进。在这里，我向我的导师表示衷心的感谢和深深地敬意!
感谢学校所有的授课老师!
感谢以及师弟师妹们在我的学习和研究中给予我的帮助，和他们一起度过的美好时光将终生难忘!
感谢我的父母和杜聪颖同学，感谢他们在生活中给予我最大的支持，学习上给予我的巨大帮助!
总之，我要感谢所有关心和帮助过我的人，他们的爱心、关怀和支持给予我前进的信心和力量。
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