关键词: 信道估计, 信号检测, 广义空间迭代期望最大化, 改进的粒子群优化

Abstract:

The maximum likelihood detection algorithm for multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) system is difficult to realize in hardware and the performance of traditional channel estimation is poor, in order to solve these problems, a joint estimation detection algorithm is proposed. To revise estimated channel using the discrete Fourier transform-least square algorithm for channel estimation and the space alternating generalized expectation maximization algorithm, the iterative signal detection is realized by combining the improved particle swarm optimization algorithm. Simulations show that the proposed algorithm can estimate the channel state information and detect data as well with less iteration number whose performance is much better than the traditional detection algorithm under the same bit error rate. There is only 1 dB difference between the bit error rate performance and the maximum likelihood detection algorithm under ideal channel.

Key words: channel estimation, signal detection, space alternating generalized expectation maximization, improved particle swarm optimization