PCIH38F300A1 UPWRA-KW3M2UPWR | Positronic | Based on SLM borderless information transmission

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PCIH38F300A1 UPWRA-KW3M2UPWR | Positronic | Based on SLM borderless information transmission

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PCIH38F300A1 UPWRA-KW3M2UPWR proposes an improved SLM scheme to address the drawbacks of high computational complexity and reduced transmission efficiency caused by transmitting sideband information in the SLM method. The improvement scheme selects and maps data packets at the sending end, and obtains a random phase shift sequence at the receiving end by analyzing the power changes of the received data. The improvement scheme can reduce computational complexity without the need for transmitting sideband information, avoiding the loss of transmission efficiency.

Orthogonal Frequency Division Multiplexing (OFDM) technology has been widely used in recent years due to its high spectral efficiency and the effectiveness of PCIH38F300A1 UPWRA-KW3M2UPWR in combating multipath interference. However, OFDM has the problem of high peak to average power ratio (PAPR). Due to the limited linear range of the power amplifier, signals with high PAPR will produce nonlinear distortion when passing through the power amplifier. To reduce this nonlinear distortion, it is necessary to expand the linear range of the power amplifier, which in turn leads to a decrease in power transmission efficiency and an increase in cost [1].

At present, the methods for reducing the PAPR of OFDM systems can be divided into three categories: amplitude limiting, encoding, and probability [2]. The methods proposed in references [3] to [5] belong to the limiting class, encoding class, and probability class, respectively. The Selective Mapping (SLM) method can effectively reduce the PAPR of OFDM systems, but it has high computational complexity. The PCIH38F300A1 UPWRA-KW3M2 UPWR requires additional bandwidth to transmit sideband information, thereby reducing transmission efficiency. At present, the improvement work on SLM mainly focuses on the above two shortcomings of SLM methods. For example, the improvement schemes proposed in references [6] and [7] can reduce computational complexity, while the improvement schemes proposed in references [8] and [9] can eliminate the need for transmitting sideband information. However, there is no improvement scheme that can simultaneously solve these two shortcomings. This article analyzes the principle of SLM and combines the schemes proposed in references [7] and [9] to propose a new SLM scheme, which not only reduces computational complexity but also does not require the transmission of sideband information.

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