Sequans Communications has filed a patent for a method of optimizing Digital Pre-Distortion (DPD) performance. The method involves choosing a DPD adaptation stimulus, initializing DPD coefficients, estimating the signal-to-noise ratio (SNR), calculating a cost function, numerically optimizing the DPD coefficients, and updating the DPD coefficient set. This capacity-based DPD optimization aims to improve the performance of DPD systems. GlobalData’s report on Sequans Communications gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Sequans Communications, IoT-5G convergence was a key innovation area identified from patents. Sequans Communications's grant share as of September 2023 was 63%. Grant share is based on the ratio of number of grants to total number of patents.
Capacity based dpd optimization method for digital pre-distortion
A recently filed patent (Publication Number: US20230299801A1) describes a method for optimizing the performance of Digital Pre-Distortion (DPD). DPD is a technique used in wireless communication systems to reduce distortion in transmitted signals. The method involves several steps to improve the accuracy of DPD coefficients, which are used to correct the distortion.
The first step in the method is to choose a DPD adaptation stimulus that helps estimate the signal-to-noise ratio (SNR) in the frequency domain. This stimulus is crucial for accurately determining the distortion in the transmitted signal. The DPD coefficients are then initialized based on an initial guess.
Next, the SNR is estimated over at least two frequencies. This estimation can be done using either an external or internal implementation. In the internal implementation, a signal is fed to the system's receive path, sampled, and the SNR is estimated. The estimation can be performed over the entire band or multiple sub-bands.
Once the SNR is estimated, a cost function is calculated based on the estimated SNR. This cost function is related to the capacity of the system. The DPD coefficients are then numerically optimized using a gradient search algorithm or a pattern search algorithm. This optimization process helps improve the accuracy of the DPD coefficients.
Finally, the DPD coefficient set is updated based on the numerical optimization. This ensures that the DPD system is continuously adjusted to reduce distortion in the transmitted signals.
The patent also mentions that the initialization of DPD coefficients can be done while the system is operating in its standard mode, considering factors such as output power, bandwidth, and carrier frequency. Additionally, the DPD adaptation stimulus used in the method is a Multi Tone Power Ratio (MTPR) signal.
Overall, this patent describes a method for optimizing the performance of DPD in wireless communication systems. By accurately estimating the SNR, calculating a cost function, and numerically optimizing the DPD coefficients, the method aims to reduce distortion and improve the overall quality of transmitted signals.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
