Abstract
The clipping method is often applied to reduce the peak to average ratio (PAPR) of orthogonal frequency division multiplexing (OFDM). However, this method will cause in-band distortion, which increases the bit error rate (BER) at the receiver. Clipping distortion recovery techniques can be used to alleviate the problem. This paper proposes a clipping noise recovery scheme based on distance metric (dmCNR). The proposed method estimates the clipping position in the frequency domain, and applies it to the reconstruction algorithm of compressed sensing (CS), which greatly reduces the system complexity. Meanwhile, the method selects the reliable sub-carrier data iteratively to improve the accuracy of clipping distortion recovery. Simulation results verify that the proposed method exhibits good BER performance.
Highlights
Orthogonal frequency division multiplexing (OFDM) is a deeply studied and widely used technology
In [29], scholars have proposed a method in which a hybrid approach using clipping and companding is used as the PAPR suppression method, and the nonlinear distortion introduced by the clipping is recovered by compressed sensing (CS) method at the receiver
We use 256 sub-carriers, the constellation modulation method is 16PSK. Another four clipping noise recovery schemes by oarthogonal matching pursuit algorithm (OMP) algorithm are added as control groups
Summary
Orthogonal frequency division multiplexing (OFDM) is a deeply studied and widely used technology. Aiming at the high PAPR problem, many effective mitigation methods have been proposed [4]- [10] These methods are roughly divided into three categories: probability technology, coding technology and signal pre-distortion technology. Scholars use pilot or reserved subcarriers to recover the clipping noise [21], [23], but this would cause a waste of spectrum resources Considering this point, some scholars have proposed to selectively use data subcarriers, which can improve spectrum utilization, and reduce channel noise pollution[20]. In [24], a clipping noise recovery method based on auxiliary signal is proposed, the sparse information is hidden in the auxiliary signal and used for the reconstruction process.
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