Signal detection method for low-complexity mimo-noma system based on improved gradient projection method

Abstract

The invention discloses a low-complexity MIMO-NOMA system signal detection method based on an improved gradient projection method, and relates to wireless communication technology. According to the sparse characteristics of the active users of the system, the system model is transformed into a strict quadratic programming problem by using the idea of ​​convex optimization algorithm; then the problem is solved iteratively, and the results of each iteration are preprocessed to achieve the goal of active users and Its signal is effectively detected. The invention breaks through the problem of slow convergence speed of the algorithm in the traditional detection method, performs preprocessing operation on each iteration result, not only can make the detection result converge quickly, but also can detect the active user set, the realization process is simple, and the application range is wide .

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a low-complexity system signal detection method. Background technique [0002] In mobile communication, multiple access technology is a technology used to solve the multi-user multiple access problem. From 1G to 4G, the development of each generation of mobile communication system is accompanied by the evolution of multiple access technology. Among them, the first generation mobile communication system (1G) that can only provide analog voice services uses Frequency Division Multiple Access (FDMA); the second generation mobile communication system (2G) uses Time Division Multiple Access ( Time Division Multiple Access, TDMA); can support digital voice services and low-speed data services; the third-generation mobile communication system (3G) uses code division multiple access to achieve multi-user access, and the peak rate of users can reach dozens of M...

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Problems solved by technology

[0003] In view of this, the technical problem to be solved by the present invention is that the non-orthogonal signal interference between users of the MIMO-NOMA system is serious, and the signal detection method has a large computational complexity. The present invention proposes a signal detection method. Sparse characteristics, using the idea of ​​convex optimization algorithm to transform the system model into a strict quadratic programming problem, and then iteratively solve the problem, and perform preprocessing operations on the results of each iteration to achieve effective detection of active users and their signals

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