A Matrix Inversion Normalized Least Mean Square (MI-NLMS) adaptive beamforming algorithm was developed for smart antenna application. The MI-NLMS which combined the individual good aspects of Sample Matrix Inversion (...A Matrix Inversion Normalized Least Mean Square (MI-NLMS) adaptive beamforming algorithm was developed for smart antenna application. The MI-NLMS which combined the individual good aspects of Sample Matrix Inversion (SMI) and the Normalized Least Mean Square (NLMS) algorithms is described. Simulation results showed that the less complexity MI-NLMS yields 15 dB improvements in interference suppression and 5 dB gain enhancement over LMS algorithm, converges from the initial iteration and achieves 24% BER improvements at cochannel interference equal to 5. For the case of 4-element uniform linear array antenna, MI-NLMS achieved 76% BER reduction over LMS algorithm.展开更多
为了滤掉有害的环境噪声,研究一种个人噪声防护耳罩。应用频域归一化X滤波最小均方(Filtered-X NLMS)算法的单点频变步长特性,结合定点DSP(Digital Signal Processor)处理器,设计出适用于有源消噪耳罩的单通道自适应反馈式结构,自适应...为了滤掉有害的环境噪声,研究一种个人噪声防护耳罩。应用频域归一化X滤波最小均方(Filtered-X NLMS)算法的单点频变步长特性,结合定点DSP(Digital Signal Processor)处理器,设计出适用于有源消噪耳罩的单通道自适应反馈式结构,自适应算法的良好降噪效果在仿真实验中得到验证。展开更多
基金Project supported by the IRPA Secretariat, Ministry of Science,Technology and Environment of Malaysia (No. 04-02-02-0029) andthe Zamalah Scheme
文摘A Matrix Inversion Normalized Least Mean Square (MI-NLMS) adaptive beamforming algorithm was developed for smart antenna application. The MI-NLMS which combined the individual good aspects of Sample Matrix Inversion (SMI) and the Normalized Least Mean Square (NLMS) algorithms is described. Simulation results showed that the less complexity MI-NLMS yields 15 dB improvements in interference suppression and 5 dB gain enhancement over LMS algorithm, converges from the initial iteration and achieves 24% BER improvements at cochannel interference equal to 5. For the case of 4-element uniform linear array antenna, MI-NLMS achieved 76% BER reduction over LMS algorithm.
文摘为了滤掉有害的环境噪声,研究一种个人噪声防护耳罩。应用频域归一化X滤波最小均方(Filtered-X NLMS)算法的单点频变步长特性,结合定点DSP(Digital Signal Processor)处理器,设计出适用于有源消噪耳罩的单通道自适应反馈式结构,自适应算法的良好降噪效果在仿真实验中得到验证。
