Marvell International Limited

Manikandan Chandrasekar

Swaroop Venkatesh

Rohit U Nabar

Lokesh Sundaramurthy Satrasala

Ping Gao

In a method of whitening noise in a signal received by a receiving device from a transmitting device via a multi input multi output (MIMO) communication channel, a data unit is received at the receiving device via the MIMO communication channel. A channel estimate H corresponding to the MIMO communication channel is determined based on the training signals. A noise scaling factor s is determined. The noise scaling factor s is a ratio of variance of noise at the receiving device to a variance of noise at the transmitting device. A noise whitening matrix W is determined using the channel estimate H and the noise scaling factor s. The noise whitening matrix W is applied to (i) the channel estimate H to generate an effective channel matrix Hand (ii) to the data symbols to generate whitened data symbols.

Noise whitening in a WLAN receiver

Systems and methods for detecting data in a received multiple-input-multiple-output signal are provided. First, second, and third signals are received and form a vector y. The received signals are associated with first, second, and third data values that form a vector x. A channel matrix (H) is received, and a QR decomposition of the channel matrix is performed, such that H=QR. The vector y is transformed into a vector z according to z=Qy. A distance value between the rector z and the vector x is determined for each possible third data value. A nearest constellation point is calculated based on a first of the possible third data values. The calculating step is repeated for each of the possible third data values to generate a set of constellation point triplets. The distance values are determined using the set of constellation point triplets.

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Nadu, India

Manikandan Chandrasekar