基于免疫算法的球形译码算法研究
DOI: 10.3969/j.issn.1006-7043.2009.11.018
Keywords: 多输入多输出 球形译码算法 免疫算法 最大似然译码算法 multiple-input multiple-output sphere decoding algorithm immune algorithm maximum likelihood decoding algorithm
Abstract:
在多输入多输出(MIMO)系统的信号检测算法中,球形译码算法的性能最接近最大似然检测算法,是目前应用最为广泛的一种信号检测方法,但传统的球形译码算法在低信噪比时计算复杂度较高,在高信噪比时误码率性能不够理想.该文提出了一种改进的球形译码方法,利用免疫算法的寻优能力来获得最佳的初始搜索半径,从而达到在保证译码性能的同时有效地降低计算复杂度的目的.实验仿真结果表明,与传统的球形译码算法相比,基于免疫算法的球形译码方法在高信噪比下可以达到最大似然译码的性能,同时能有效降低低信噪比时的运算复杂度,从而更符合现代无线通信实时性的要求.
References
[1] | 1. POHST M On the computation of lattice vectors of minimal length,successive minima and reduced bases with applications 1981(1)
|
[2] | 2. VITERBO E.BIGLIER E A universal decoding algorithm for lattice codes 1993
|
[3] | 3. DAMEN M O.CHKEIF A.BELFIORE J C Lattice code decoder for space-time codes 2000(5)
|
[4] | 4. FINCKE U.PHOST M Improved methods for calculating vectors of short length in a lattice,including a complexity analysis 1985(4)
|
[5] | 5. LIU Qianlei.YANG Luxi A novel method for initial radius selection of sphere decoding 2004
|
[6] | 6. HASSIBI B.VIKALO H On the sphere-decoding algorithm I.expected complexity 2005(8)
|
[7] | 7. 王磊.潘进.焦李成 免疫算法 [期刊论文] -电子学报2000(7) 8. VITERBO E.BOUTROS J A universal lattice code decoder for fading channels 1999(7)
|
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