MIMO-OTFS in High-Doppler Fading Channels:Signal Detection and Channel Estimation(3)

3.3Vectorized formulation of the input-output relation

信道的脉冲响应可以写为
h ( τ , ν ) = i = 1 P h i δ ( τ τ i ) δ ( ν ν i ) h(\tau,\nu)=\sum_{i=1}^{P}h_i\delta(\tau-\tau_i)\delta(\nu-\nu_i) 即假设两根天线之间存在P条路径
??? Define τ i = α i M Δ f \tau_i=\frac{\alpha_i}{M\Delta f} and ν i = β i N T \nu_i=\frac{\beta_i}{NT} ,where αi and βi are integers denoting the indices of the delay tap (with delay τ i \tau_i ) and Doppler tap (with Doppler value ν i \nu_i ). In practice, although the delay and Doppler values are not exactly integer multiples of the taps, they can be well approximated by a few delay-Doppler taps in the discrete domain.
有了上面的假设之后,可以得到 y [ k , l ] = i = 1 P h i x [ ( ( k β i ) ) N , ( ( l α i ) ) M ] + v [ k , l ] y[k,l]=\sum_{i=1}^{P}h_i'x[((k-\beta_i))_N,((l-\alpha_i))_M]+v[k,l] 用向量形式可以表示为 y = H x + v y=Hx+v ??? x k + N l = x [ k , l ] x_{k+Nl}=x[k,l] ,周期性?

4MIMO-OTFS Modulation

y M I M O = H M I M O x M I M O + v M I M O y_{MIMO}=H_{MIMO}x_{MIMO}+v_{MIMO} 其中 H M I M O = [ H 11 H 12 H 1 n a H 21 H 22 H 2 n a H n a 1 H n a 2 H n a n a ] H_{MIMO}=\left[ \begin{matrix} H_{11} & H_{12} & \cdots & H_{1n_a} \\ H_{21} & H_{22} & \cdots & H_{2n_a} \\ \vdots & \vdots & \ddots & \vdots \\ H_{n_a1} & H_{n_a2} & \cdots & H_{n_an_a} \end{matrix} \right] x M I M O = [ x 1 T , x 2 T , , x n a T ] T , y M I M O = [ y 1 T , y 2 T , , y n a T ] T , v M I M O = [ v 1 T , v 2 T , , v n a T ] T x_{MIMO}=[x_1^T,x_2^T,\cdots,x_{n_a}^T]^T,y_{MIMO}=[y_1^T,y_2^T,\cdots,y_{n_a}^T]^T,v_{MIMO}=[v_1^T,v_2^T,\cdots,v_{n_a}^T]^T 这个部分没有什么难理解的,和普通的MIMO很像。
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