A method for correcting indication information, at a Maximum Likelihood ML MIMO receiver characterized in that the method comprises: obtaining a Signal-to-Noise Ratio, SNR, value of a first layer at current time and an SNR value of a second layer at the current time; using a Minimum Mean Square Error MMSE or Maximum Ratio Combining MRC method; calculating a channel correlation value at the current time according to the SNR value of the first layer and the SNR value of the second layer; calculating a smoothing value of the channel correlation value at the current time according to the calculated channel correlation value and a preset forgetting factor; correcting a Rank Indicator, RI, value and/or a Channel Quality Indicator, CQI, value according to the obtained smoothing value; wherein the step of calculating the channel correlation value at the current time according to the SNR value of the first layer and the SNR value of the second layer comprises: creating a value set of the SNR value of the first layer and the SNR value of the second layer, and obtaining a maximum value and a minimum value in the value set; regarding a value obtained by dividing the minimum value by the maximum value as the channel correlation value at the current time; wherein the smoothing value is a sum of two multiplied values; one multiplied value is obtained by multiplying the forgetting factor and the channel correlation value at the current time, other multiplied value is obtained by multiplying a value obtained by subtracting the forgetting factor from 1 and a smoothing value of a channel correlation value at previous time; wherein, the forgetting factor is a decimal which is greater than 0 and less than or equal to 1. obtaining a Signal-to-Noise Ratio, SNR, value of a first layer at current time and an SNR value of a second layer at the current time; using a Minimum Mean Square Error MMSE or Maximum Ratio Combining MRC method; calculating a channel correlation value at the current time according to the SNR value of the first layer and the SNR value of the second layer; calculating a smoothing value of the channel correlation value at the current time according to the calculated channel correlation value and a preset forgetting factor; correcting a Rank Indicator, RI, value and/or a Channel Quality Indicator, CQI, value according to the obtained smoothing value; wherein the step of calculating the channel correlation value at the current time according to the SNR value of the first layer and the SNR value of the second layer comprises: creating a value set of the SNR value of the first layer and the SNR value of the second layer, and obtaining a maximum value and a minimum value in the value set; regarding a value obtained by dividing the minimum value by the maximum value as the channel correlation value at the current time; wherein the smoothing value is a sum of two multiplied values; one multiplied value is obtained by multiplying the forgetting factor and the channel correlation value at the current time, other multiplied value is obtained by multiplying a value obtained by subtracting the forgetting factor from 1 and a smoothing value of a channel correlation value at previous time; wherein, the forgetting factor is a decimal which is greater than 0 and less than or equal to 1. creating a value set of the SNR value of the first layer and the SNR value of the second layer, and obtaining a maximum value and a minimum value in the value set; regarding a value obtained by dividing the minimum value by the maximum value as the channel correlation value at the current time; wherein the smoothing value is a sum of two multiplied values; one multiplied value is obtained by multiplying the forgetting factor and the channel correlation value at the current time, other multiplied value is obtained by multiplying a value obtained by subtracting the forgetting factor from 1 and a smoothing value of a channel correlation value at previous time; wherein, the forgetting factor is a decimal which is greater than 0 and less than or equal to 1.