Direct sequence spread spectrum signal detection method based on GPU parallel
A direct sequence spread spectrum and signal detection technology, applied in the field of communications, can solve the problems of inability to detect the carrier frequency of the direct spread signal, time-consuming and poor real-time calculation of the signal correlation value, and large amount of calculation of the signal correlation value, etc., and achieves engineering application value. High, fast calculation speed, overcoming the effect of time-consuming
Active Publication Date: 2021-08-24
XIDIAN UNIV
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Benefits of technology
This patented technology uses a technique called directly sequential spreadspectrum (DS) for transmitting signals without interferring them from other devices or sources like radar systems. It achieves this by measuring how much energy an electromagnetic wave travels through space at different times during its transmission process. By doing this, DS allows for faster data processing compared to traditional methods such as radio waves. Additionally, there are technical benefits associated with these techniques: they allow for accurate timing measurements even when multiple transmitters use the same frequencies, which makes it more reliable than previous methods due to their stronger antijamming capabilities. Overall, DISSC provides better performance and efficiency in communications technologies.
Problems solved by technology
Technological Problem addressed in this patents relates to improving the accuracy and efficiency of detecting signals from radioactive sources like X rays or gamma radiation. Current methods have limitations due to their weaknesses in environments where they may interfere with each other's data transmission capabilities. A new approach called GSP involves analyzing directly spotted sequences instead of pseudocodes, resulting in improved sensitivity even at reduced levels of background noise compared to traditional techniques.
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[0060] In order to further explain the technical means and effects of the present invention to achieve the intended purpose of the invention, a GPU-based parallel direct-sequence spread spectrum signal detection method proposed according to the present invention will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.
[0061] The aforementioned and other technical contents, features and effects of the present invention can be clearly presented in the following detailed description of specific implementations with accompanying drawings. Through the description of specific embodiments, the technical means and effects of the present invention to achieve the intended purpose can be understood more deeply and specifically, but the accompanying drawings are only for reference and description, and are not used to explain the technical aspects of the present invention. program is limited.
[0062] It should be noted that in thi
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The invention discloses a direct sequence spread spectrum signal detection method based on GPU parallel. The method comprises the following steps: obtaining a multi-delay slice vector of an original received signal; obtaining a cyclic statistic calculation formula of the original received signal by using the multi-delay slice vector; carrying out parallel calculation on the cyclic statistic calculation formula of the original receiving signal by utilizing GPU multithreading to obtain a cyclic statistic result; performing normalization processing on the cyclic statistic result to obtain a normalized cyclic statistic; and detecting whether a direct spread signal exists in the received signal or not according to the normalized cyclic statistics. According to the method, carrier frequency estimation is carried out while the existence of the direct sequence spread spectrum signals is detected by utilizing the cyclostationary characteristic, cyclic statistics are simultaneously executed by utilizing multiple threads of the GPU to calculate a kernel function, and the method has the advantages of high anti-interference capability, high calculation speed, high degree of parallelism and high GPU utilization rate.
Description
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