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MIMI檢測(cè)-線(xiàn)性算法-匹配濾波 Matched Filter

2022-10-14 11:24 作者:樂(lè)吧的數(shù)學(xué)  | 我要投稿

這篇文章講解一下 MIMO 檢測(cè)算法的一個(gè)小類(lèi)別:線(xiàn)性算法。

(錄制的視頻:

https://www.bilibili.com/video/BV1xe4y1E7GE/

https://www.bilibili.com/video/BV1vd4y117YQ/

我們的問(wèn)題是已知接收的信號(hào) Y,以及信道系數(shù)矩陣 H,估計(jì)發(fā)送的數(shù)據(jù) X.



這里說(shuō)的線(xiàn)性算法,指的是通過(guò)對(duì) Y 的線(xiàn)性組合來(lái)估計(jì)出發(fā)送的數(shù)據(jù) X,可以表示為:


%5Chat%20X%20%3D%20T%20Y


其中 Y?是接收到的信號(hào)構(gòu)成的列向量,%5Chat%20X?是估計(jì)出來(lái)的發(fā)送數(shù)據(jù)構(gòu)成的列向量,T?是一個(gè)矩陣,這樣,估計(jì)出來(lái)的發(fā)送的數(shù)據(jù),就是接收到的數(shù)據(jù)的線(xiàn)性組合,例如:


%5Chat%20x_1%20%3D%20t_%7B11%7Dy_1%2Bt_%7B12%7Dy_2%2B...%2Bt_%7B1N_r%7Dy_%7BN_r%7D%20%20%5C%5C%0A%0A...%20%5C%5C%0A%0A%5Chat%20x_k%20%3D%20t_%7Bk1%7Dy_1%2Bt_%7Bk2%7Dy_2%2B...%2Bt_%7BkN_r%7Dy_%7BN_r%7D%20%20%5C%5C%0A%0A...%5C%5C%0A%0A%5Chat%20x_%7BN_t%7D%20%3D%20t_%7Bk1%7Dy_1%2Bt_%7Bk2%7Dy_2%2B...%2Bt_%7BkN_r%7Dy_%7BN_r%7D


這篇文章介紹三種典型的 MIMO 的線(xiàn)性 detector(檢測(cè))。


匹配濾波器(MF: Matched Filter)


%5Chat%20X%20%3D%20H%5EH%20Y%20%20-------%E5%85%AC%E5%BC%8F(1)



因?yàn)?


y_1%20%3D%20h_%7B11%7Dx_1%20%2B%20h_%7B12%7D%20x_2%20%2B%20...%20%2B%20h_%7B1N_t%7D%20x_%7BN_t%7D%20%2B%20n_1%20%5C%5C%0A%0Ay_2%20%3D%20h_%7B21%7Dx_1%20%2B%20h_%7B22%7D%20x_2%20%2B%20...%20%2B%20h_%7B2N_t%7D%20x_%7BN_t%7D%20%2B%20n_2%20%5C%5C%0A%0A...%20%5C%5C%0A%0Ay_%7BN_r%7D%20%3D%20h_%7BN_r1%7Dx_1%20%2B%20h_%7BN_r2%7D%20x_2%20%2B%20...%20%2B%20h_%7BN_rN_t%7D%20x_%7BN_t%7D%20%2B%20n_%7BN_r%7D%20%5C%5C



而公式(1) 可以寫(xiě)成:


%5Chat%20x_1%20%3D%20h_%7B11%7D%5E*%20y_1%20%2B%20h_%7B21%7D%5E*%20y_2%20%2B%20...%20%2B%20h_%7BN_r%201%7D%5E*%20y_%7BN_r%7D%20%5C%5C%0A%0A%5Chat%20x_2%20%3D%20h_%7B12%7D%5E*%20y_1%20%2B%20h_%7B22%7D%5E*%20y_2%20%2B%20...%20%2B%20h_%7BN_r%202%7D%5E*%20y_%7BN_r%7D%20%5C%5C%0A%0A...%20%5C%5C%0A%0A%5Chat%20x_%7BN_t%7D%20%3D%20h_%7B12%7D%5E*%20y_1%20%2B%20h_%7B22%7D%5E*%20y_2%20%2B%20...%20%2B%20h_%7BN_r%202%7D%5E*%20y_%7BN_r%7D%20%5C%5C



我們把其中一個(gè)估計(jì),展開(kāi)看看:


%5Chat%20x_2%20%3D%20h_%7B12%7D%5E*%20y_1%20%2B%20h_%7B22%7D%5E*%20y_2%20%2B%20...%20%2B%20h_%7BN_r%202%7D%5E*%20y_%7BN_r%7D%20%5C%5C%20%0A%0A%3Dh_%7B12%7D%5E*h_%7B21%7Dx_1%20%2B%20h_%7B12%7D%5E*h_%7B12%7Dx_2%2B...%2Bh_%7B12%7D%5E*h_%7B1N_t%7Dx_%7BN_t%7D%20%2B%20%5C%5C%0A%0Ah_%7B22%7D%5E*h_%7B21%7Dx_1%20%2B%20h_%7B22%7D%5E*h_%7B22%7Dx_2%2B...%2Bh_%7B22%7D%5E*h_%7B2N_t%7Dx_%7BN_t%7D%20%2B%20%5C%5C%0A%0A...%20%2B%20%5C%5C%0A%0Ah_%7BN_r%202%7D%5E*h_%7BN_r%201%7Dx_1%20%2B%20h_%7BN_r%202%7D%5E*h_%7BN_r%202%7Dx_2%2B...%2Bh_%7BN_r%202%7D%5E*h_%7B%20N_r%20N_t%7Dx_%7BN_t%7D%20%5C%5C%0A%0A%3D%20(h_%7B12%7D%5E*h_%7B12%7D%2Bh_%7B22%7D%5E*h_%7B22%7D%2B...%2Bh_%7BN_r%202%7D%5E*h_%7BN_r%202%7D)%20x_2%20%2B%20.....



我們用向量的方式來(lái)表示,更簡(jiǎn)潔,容易理解:


令:


H%20%3D%20%5Bh_1%2Ch_2%2C...%2Ch_%7BN_t%7D%5D



則:


Y%20%3D%20h_1%20x_1%20%2B%20h_2%20x_2%20%2B%20...%2B%20h_%7BN_t%7D%20x_%7BN_t%7D%20%2B%20n



而:


H%5EH%20%3D%20%0A%0A%5Cbegin%7Bbmatrix%7D%0A%0Ah_1%5EH%20%5C%5C%0A%0Ah_2%5EH%20%5C%5C%0A%0A...%20%5C%5C%0A%0Ah_%7BN_t%7D%5EH%0A%0A%5Cend%7Bbmatrix%7D



從而:


%5Chat%20X%20%3D%20H%5EH%20Y%20%3D%20%0A%0A%5Cbegin%7Bbmatrix%7D%0A%0Ah_1%5EH%20h_1%20x_1%20%2B%20h_1%5EH%20h_2%20x_2%2B...%2Bh_1%5EH%20h_%7BN_t%7D%20x_%7BN_t%7D%20%2B%20h_1%5EHn%20%5C%5C%0A%0Ah_2%5EH%20h_1%20x_1%20%2B%20h_2%5EH%20h_2%20x_2%2B...%2Bh_2%5EH%20h_%7BN_t%7D%20x_%7BN_t%7D%20%2B%20h_2%5EHn%5C%5C%0A%0A...%5C%5C%0A%0Ah_%7BN_t%7D%5EH%20h_1%20x_1%20%2B%20h_%7BN_t%7D%5EH%20h_2%20x_2%2B...%2Bh_%7BN_t%7D%5EH%20h_%7BN_t%7D%20x_%7BN_t%7D%20%2B%20h_%7BN_t%7D%5EHn%20%0A%0A%5Cend%7Bbmatrix%7D



例如:


%5Chat%20x_2%20%3Dh_2%5EH%20h_1%20x_1%20%2B%20h_2%5EH%20h_2%20x_2%2B...%2Bh_2%5EH%20h_%7BN_t%7D%20x_%7BN_t%7D%20%2B%20h_2%5EHn%5C%5C%0A%0A%3D%20h_2%5EH%20h_2%20x_2%20%2B%20h_2%5EH%20h_1%20x_1%20%2B%20h_3%5EH%20h_3%20x_3%2B...%2Bh_2%5EH%20h_%7BN_t%7D%20x_%7BN_t%7D%2B%20h_2%5EHn


除了第一項(xiàng),后面都是干擾項(xiàng)。


如果滿(mǎn)足正交性,則干擾就會(huì)都消失掉。



MIMI檢測(cè)-線(xiàn)性算法-匹配濾波 Matched Filter的評(píng)論 (共 條)

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