Optimized noise forming peak clipping method and device

Abstract

The present invention relates to an optimized noise forming peak clipping method and device. The method comprises the steps of: receiving and caching intermediate frequency signals sent by an up converter and obtaining the phase and the amplitude of the intermediate frequency signals; determining the amplitude of the intermediate frequency signals is larger than each-level detection threshold or not; if the amplitude of the intermediate frequency signals is larger than any one of the multi-level detection thresholds, calculating the total peak clipping vector of this level; and performing peakclipping of the intermediate frequency signals according to the total peak clipping vector of this level to obtain signals with good qualities and sending the signals to a DA converter. The optimizednoise forming peak clipping method and device perform step-by-step peak clipping of the peaks which exceed the detection thresholds through the multi-level detection thresholds with no need for peaksearch, and can only directly perform peak clipping of the peaks which exceed the detection thresholds through detection so as to simplify system processing complexity and stabilize the system.

Description

technical field [0001] The invention relates to the technical field of mobile communication, in particular to an optimized noise shaping and peak clipping method and device. Background technique [0002] OFDM (Orthogonal Frequency Division Multiplexing, Orthogonal Frequency Division Multiplexing) multi-carrier system adopts orthogonal frequency division channels, so it can support high-speed wireless data transmission without complex equalization technology, and has strong anti- Fading and anti-ISI (Inter Symbol Interference, inter-symbol interference), but the main shortcoming of the OFDM system is that it has a large PAPR (Peak to Average Power Ratio, peak-to-average power ratio), which directly affects the operation of the entire system cost and efficiency. The peak-to-average ratio problem is a common problem in MCM (Multi Carrier Modulation, multi-carrier modulation). [0003] At a certain moment, if multiple carriers are accumulated in the same direction, a large pea...

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Problems solved by technology

But this algorithm is only limited to the physical layer implementation

In the prior art, there is only one clipping threshold power A, and the peak signals greater than this peak clipping threshold will be cut off. Since the TR algorithm inserts a peak clipping sequence, although the peak clipping sequence cuts off the main peak value, the peak clipping sequence Side lobes may produce peak signals

Or when cutting small peak signals, the side lobes of the peak clipping sequence may regenerate the signal peaks that have just been clipped. As long as a little peak is added, it needs to be clipped again, which requires constant iterative clipping, which not only wastes resources, and the damage to the signal increases

[0013] In addition, there is a noise shaping peak clipping algorithm (NS-CFR) in the intermediate frequency. This algorithm needs to first subtract the signal exceeding the threshold from the threshold to obtain the peak clipping noise, and then shape and filter the noise, and subtract the shaped filter from the original signal. Noise, thereby reducing the PAPR of the signal, but this algorithm consumes a lot of resources, and the signal quality EVM (Error Vector Magnitude, error vector magnitude) deteriorates seriously

[0014] Among the above three algorithms, although the first two algorithms can cut off the peak value very well at the physical layer, but after inputting to the intermediate frequency, it needs to go through multi-level interpolation and filtering to increase the peak-to-average ratio again.

The third algorithm, the IF noise shaping algorithm consumes a lot of resources, and the signal quality EVM deteriorates seriously

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