Bandwidth-adaptive big iteration receiver

Abstract

The invention relates to a bandwidth-adaptive big iteration receiver. For a broadband multi-antenna orthogonal frequency division multiplexing (OFDM) communication system, the traditional minimum mean square error (MMSE) receiver and a Turbo/LDPC code decoder are combined together so as to compose the big iteration receiver which can provide interference cancellation; and the receiving schemes and the iterating parameters in various OFDM application contexts with different bandwidths are subjected to adaptive adjustment so as to reach the optimal system performance. The receiver provided by the invention has the following working steps: (1) detecting parameters, such as the size of bandwidth, the length of a transmission block, the number of code block, the code rate and the like, which are allocated to a user by a receiving terminal; and (2) calculating the time required for finishing detecting and decoding according to the obtained communication parameters. If a context cannot support the big iteration receiver under the real-time requirements, a receiving scheme is adjusted to be a non-iteration form; and if the iterative reception can be adopted, an MMSE soft interference cancellation-based big iteration detecting scheme which is in a double Turbo form is selected, and the parameters required for the big iteration are further determined.

Description

technical field [0001] The invention is a bandwidth self-adaptive large iterative receiver, which includes the field of multi-antenna detection and the field of decoding of channel error correction codes in the wireless communication system. Background technique [0002] Broadband multi-antenna orthogonal frequency division multiplexing (MIMO-OFDM) system is the key technology of the third and fourth generation mobile communication and wireless broadband system, which can realize high-speed transmission and strong reliability. [0003] Orthogonal Frequency Division Multiplexing (OFDM) is a multi-carrier modulation technology, and its basic idea is to use several mutually orthogonal sub-carriers to share the original high-speed data stream. In this way, not only can the data transmission speed on each subcarrier be reduced, but also the signal can be demodulated at the receiving end according to the orthogonality of the subcarriers, thereby improving the system's ability to r...

AI Technical Summary

Problems solved by technology

The maximum likelihood detection algorithm is the detection algorithm with the best performance, but its computational complexity increases exponentially with the increase of the modulation order, the number of transmitting antennas, etc.

The minimum mean square error detection algorithm obtained from the linear mean square estimation theory has low complexity and is easy to implement, but its performance is poor

Images