Report-Milad-Vahedi
代码说明：
In this project an adaptive beamforming technique is proposed based on directly minimizing the BER1. A particular approach that has shown real promise in achieving substantial capacity enhancements is the use of adaptive antenna arrays. A beamformer appropriately combines the signals received by the different elements of an antenna array to form a single output. Classically, this has been achieved by minimizing the mean square error (MSE) between the desired output and the actual array output. It is demonstrated that minimum BER (MBER) approach utilizes the antenna array elements more intelligently than the standard MMSE2 approach, since it directly optimizes the system’s BER performance rather than minimizing the MSE, where the latter strategy often turns out to be deficient.
文件列表：
mfiles
......\Beam_Pattern.m,1633,2014-02-07
......\Conditional_pdf.m,2050,2014-02-07
......\LBER_LearningCurve.m,3308,2014-02-07
......\LBER_MMSE_nearfar_effect.m,2611,2014-02-07
......\LBER_MMSE_SIR0.m,2441,2014-02-07
......\LBER_MMSE_SIR6.m,2598,2014-02-07
......\LearningCurve_variableMu.m,2275,2014-02-07
......\MBER_MMSE_SIR0.m,2624,2014-02-07
Report.pdf,232739,2014-10-20
下载说明：请别用迅雷下载，失败请重下，重下不扣分！
