2020
DOI: 10.1360/ssi-2019-0121
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Strict parity symmetric prolate spheroidal wave functions signal construction and low complexity detection method

Abstract: 干扰. 围绕如何提升调制信号能量聚集性, 广义频分复用 (generalized frequency division multiplexing, GFDM) [14, 15] 、 滤波多载波 (filter bank multi-carrier, FBMC) [16∼18] 、 统一滤波多载波 (universal filtered multi-carrier, UFMC) [19∼21] 等高能量聚集度波形设计方案相继被提出, 有效提高了调制信号能量聚集 性. 而上述方法均在正弦波框架下, 其继承了正弦波信号时间带宽积固定的不足, 限制了信号波形设 计的灵活性.

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Cited by 5 publications
(4 citation statements)
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“…We can observe from (21) and (22) that, in the condition that the power of modulation signal is constant, the PAPR is closely related to the coefficient |a p |. Denote the average power of the MCM-PSWFs-FD signal as P. Since the CP-OFDM, WOLA-OFDM, F-OFDM and UFMC scheme invoke CP, window function or filter function, different symbol period signals of the FBMC-OQAM scheme overlaps in the time domain, the average power in single symbol period of the aforementioned MCM schemes is (1+β)P, β 0, which is larger than that of the MCM-PSWFs-FD scheme.…”
Section: Peak-to-average Power Ratiomentioning
confidence: 99%
See 1 more Smart Citation
“…We can observe from (21) and (22) that, in the condition that the power of modulation signal is constant, the PAPR is closely related to the coefficient |a p |. Denote the average power of the MCM-PSWFs-FD signal as P. Since the CP-OFDM, WOLA-OFDM, F-OFDM and UFMC scheme invoke CP, window function or filter function, different symbol period signals of the FBMC-OQAM scheme overlaps in the time domain, the average power in single symbol period of the aforementioned MCM schemes is (1+β)P, β 0, which is larger than that of the MCM-PSWFs-FD scheme.…”
Section: Peak-to-average Power Ratiomentioning
confidence: 99%
“…Hence, in this paper, we aim for designing an alternative solution of waveform design in some 5G scenarios by proposing a novel MCM-PSWFs scheme. Additionally, our previous work [21] separately processes odd symmetric and even symmetric waveforms of PSWFs based on their parity symmetry in the time domain, which is capable of effectively reducing the complexity of the generation and detection of signals. Meanwhile, this also provides a novel solution for reducing the complexity of MCM-PSWFs system.…”
Section: Introductionmentioning
confidence: 99%
“…其中, c = BT (Hz • s) 为 PSWFs 信号时间带宽积, φ i (t) 为第 i 阶 PSWFs 信号, λ i 为 PSWFs 信号 φ i (t) 能量聚集度. 需要特别说明的是, 当 f L = 0 (Hz), 式 (1) 所示为低通 PSWFs 信号; 当 f L > 0 (Hz), 式 PSWFs 信号进行优选、分组, 进而利用 IM 和 PAM 同时进行信息加载, 获取调制符号; 而后采用基于 奇偶特性的调制信号产生方法 [24] , 产生基于信号分组优化的 PSWFs 多载波调制信号. 在接收端, 首…”
Section: 基于信号分组优化的 Pswfs 多载波调制解调与检测方法unclassified
“…F-OFDM-IM [19] O(XNclog 2 XNc + +2XN F Nc + gnlog 2 n + M gn) 2.46 × 10 5 FBMC-IM [29] O(KXNclog 2 XNc + 2KXNc + gnlog 2 n + M gn) 4.54 × 10 4 MCOM-PSWFs [24] O(XN 2 c ) 9.52 × 10 4…”
Section: 调制信号功率谱与峰均功率比mentioning
confidence: 99%