CAJ | 학술논문

高峰均比(PAPR)是多载波码分多址(MC-CDMA)技术应用中亟待解决的关键问题.对于采用Walsh-Hadamard(WH)扩频码的系统来说,优化用户扩频码的分配方案可降低系统的PAPR,但最优扩频码分配方法运算复杂度太高.为此,采用具有优良迭代寻优能力的粒子群优化算法(降低算法的复杂度.改进算法将最优分配方案的高维搜索问题转化为粒子群迭代寻优过程.分析比较和仿真结果表明,与最优算法相比,改进算法在降低失,而复杂度远小于最优算法,是一种简单实用的峰均比降低方法.PSO)来PAPR性能方面有0.5~1.5 dB的性能损
고봉균비(PAPR)시다재파마분다지(MC-CDMA)기술응용중극대해결적관건문제.대우채용Walsh-Hadamard(WH)확빈마적계통래설,우화용호확빈마적분배방안가강저계통적PAPR,단최우확빈마분배방법운산복잡도태고.위차,채용구유우량질대심우능력적입자군우화산법(강저산법적복잡도.개진산법장최우분배방안적고유수색문제전화위입자군질대심우과정.분석비교화방진결과표명,여최우산법상비,개진산법재강저실,이복잡도원소우최우산법,시일충간단실용적봉균비강저방법.PSO)래PAPR성능방면유0.5~1.5 dB적성능손
@@@@The high peak-to-average power ratio(PAPR)of Multicarrier Code Division Multiple Access(MC-CD-MA)is a key factor to be solved. In MC-CDMA system using Walsh-Hadamard(WH)spreading codes,the spreading code allocation is related to the PAPR and a reasonable allocation strategy can reduce signal PAPR. To reduce the high complexity of the optimal allocation method,particle swarm optimization(PSO)is introduced for seeking the optimum code allocation. Analysis and simulation results show that the proposed suboptimal method has a small performance loss (0.5~1.5 dB)in reducing PAPR. But the suboptimal method also has very low computational complexity and is suitable for practical system.