The number of columns of the signal input must be equal to the number of transmit antennas.

This statement is true in the context of MIMO (Multiple-Input Multiple-Output) communication systems. In such systems, the signal input consists of multiple streams, one for each transmit antenna. Each stream is modulated and transmitted from a corresponding antenna, and the receiver uses information from all antennas to decode the received signal. Therefore, the number of columns in the signal input matrix must match the number of transmit antennas in order to properly transmit and receive the data.

相关问题

MATLAB System block 'untitled/MIMO Fading Channel' error occurred when invoking 'getOutputSizeImpl' method of 'comm.internal.MIMOFadingChannel'. The error was thrown from ' 'D:\Program Files\Polyspace\R2020a\toolbox\comm\comm\+comm\+internal\MIMOFadingChannel.m' at line 77'. Caused by: The signal input must be a double precision, 2-dimensional matrix with the number of columns equal to the number of transmit antennas. Component:Simulink | Category:Model error Error in port widths or dimensions. 'Output Port 1' of 'untitled/QPSK Modulator Baseband' is a [200x1] matrix. Component:Simulink | Category:Model error

这是一个关于Simulink模型的错误。其中一个错误是 'untitled/MIMO Fading Channel' 的 'getOutputSizeImpl' 方法调用时出现了错误，错误信息是 'The signal input must be a double precision, 2-dimensional matrix with the number of columns equal to the number of transmit antennas.'。另一个错误是 'untitled/QPSK Modulator Baseband' 的 'Output Port 1' 是一个 [200x1] 矩阵，这与模型要求的矩阵的维度不匹配。这些问题需要根据具体情况进行调试和解决。在第一个错误中，需要检查输入矩阵的维度和数据类型是否正确，并且确保列数等于发送天线的数量。在第二个错误中，需要将输出矩阵的维度和尺寸修改为模型要求的格式。

The number of columns in Aeq must be the same as the number of elements of f.

This error message typically occurs in MATLAB when you are using the function `linprog` to solve a linear programming problem and the number of columns in the equality constraint matrix `Aeq` is not equal to the number of elements in the constraint vector `f`.

In other words, the number of decision variables in your optimization problem, which is the length of the vector `x`, must be the same as the number of columns in `Aeq`. This is because the equality constraints represented by `Aeq` must be satisfied for all values of the decision variables `x`.

To fix this error, you need to make sure that the dimensions of `Aeq` and `f` are compatible. Check that the number of decision variables in your optimization problem matches the number of columns in `Aeq`. If they do not match, adjust your constraints or decision variables accordingly.