Uplink subsystem complexity reduction method based on PCMA technology

By optimizing the uplink subsystem through PCMA technology and adopting spectrum analysis, MIMO detection and coding technology, the transmission strategy is dynamically adjusted to solve the complexity expansion problem of traditional systems in high data rate and multi-antenna complex channel environments, and achieve stability and efficiency improvement of system performance.

CN120676374APending Publication Date: 2025-09-19INST OF WAR STUDIES ACAD OF MILITARY SCI OF THE CHINESE PEOPLES LIBERATION ARMY
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Patent Information

Application Number
CN202510650068.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-20
Publication Date
2025-09-19

AI Technical Summary

Technical Problem

The complexity of traditional uplink subsystems increases under high data rates and complex multi-antenna channel environments, resulting in increased processing delays and power consumption, affecting system performance and user experience.

Method used

A method based on PCMA technology is adopted to dynamically optimize filter parameters and coding resources through spectrum analysis, MIMO detection, pilot sequence and Golay complementary sequence, Wiener filtering algorithm, turbo code and low-density parity-check code, etc., and the transmission strategy is adjusted in combination with the Gigabit Ethernet interface, the synchronization mechanism is optimized, the system complexity is reduced, and the channel estimation accuracy and spectrum utilization are improved.

Benefits of technology

It significantly reduces system complexity, improves the stability and reliability of data transmission, enhances the system's adaptability to different environments, ensures the real-time and synchronization of data transmission, and improves the overall system stability and user experience.

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Abstract

The invention discloses an uplink subsystem complexity reduction method based on a PCMA technology, and relates to the technical field of high-capacity wireless transmission system design and complexity control, and the method comprises the following steps: collecting uplink signal parameters through spectrum analysis, bit error rate test and MIMO detection, obtaining channel characteristics through a pilot frequency and a Gray sequence, and obtaining the complexity of a high-capacity wireless transmission system; baseband data are generated, scene features are extracted, Wiener filtering and iterative soft decision feedback algorithms are adopted to optimize filtering and coding, channel and coding performance is evaluated, transmission strategies are dynamically adjusted through a gigabit network interface, clocks are unified, synchronization is optimized, and the complexity of a PCMA uplink system is reduced. The complexity of an uplink subsystem is effectively reduced through the PCMA technology, the efficiency and the stability of a high-capacity wireless transmission system are improved, efficient utilization of resources and improvement of synchronization precision are achieved by accurately collecting signal parameters, optimizing filtering and coding and dynamically adjusting a transmission strategy, and the method is suitable for large-scale popularization and application. And powerful support is provided for the development of a wireless communication system.
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