论文标题
OFDM-IM系统的低复杂性次优ML检测
Low Complexity Suboptimal ML Detection for OFDM-IM Systems
论文作者
论文摘要
用索引调制（OFDM-IM）是一种新型的多载波方案，它使用n个子载体作为主动子载波来传输数据。为了检测接收器处的子载波激活模式（SAP），由于其较高的计算复杂性，无法使用最大似然（ML）检测。取而代之的是，使用选择最有效的K子载体的检测器，该检测器称为k最大值（KLV）检测器。但是，这种方法会降低检测性能，尤其是如果非法SAPS与SAP的比率很高。在这封信中，提出了次优的ML检测器，这是KLV检测器的稍作修改。但是，与ML检测相比，提出的检测器具有相似的检测性能，这适用于弹性实施OFDM-IM系统。
Orthogonal frequency division multiplexing with index modulation (OFDM-IM) is a novel multicarrier scheme, which uses the k out of n subcarriers as active subcarriers to transmit data. For detecting the subcarrier activation pattern (SAP) at the receiver, maximum likelihood (ML) detection cannot be used because of its high computational complexity. Instead, the detector selecting the most likely active k subcarriers is used, which is called a k largest values (klv) detector. However, this method degrades the detection performance especially if the ratio of illegal SAPs to SAPs is high. In this letter, the suboptimal ML detector is proposed, which is a slight modification of the klv detector. However, the proposed detector has a similar detection performance compared to the ML detection, which is suitable for flexible implementation of OFDM-IM systems.
