Weighted Least Squares Based Spectral Precoder for OFDM Cognitive Radio

被引:12
作者
Kumar, Ravinder [1 ]
Tyagi, Anshul [1 ]
机构
[1] Indian Inst Technol, Dept Elect & Commun Engn, Roorkee 247667, Uttar Pradesh, India
关键词
Cognitive radio; OFDM; sidelobe suppression; spectral precoding; N-CONTINUOUS OFDM;
D O I
10.1109/LWC.2015.2476807
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This letter presents a novel spectral precoding scheme for orthogonal frequency division multiplexing (OFDM) based cognitive radio (CR) systems. Unlike existing techniques, where the least squares approach leads to a biased solution causing more distortion on some subcarriers than others, the proposed precoder adopts a weighted least squares approach and uses Lawson's algorithm for obtaining desired weights. Simulation results show that the proposed precoder provides significant BER performance gain without much impact on computational complexity and sidelobe suppression. Moreover, the proposed precoder when combined with decision directed iterative decoding at the receiver provides bit error rate (BER) performance similar to that of an un-suppressed OFDM system.
引用
收藏
页码:641 / 644
页数:4
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