Abstract: A method of locating a radiator is provided. A channel measurement vector is defined that includes a signal value measured at each of a plurality of antennas in response to a signal transmitted from a radiator. (a) A cell covariance matrix of a first cell from a plurality of cells defined for a region in which the radiator is located is selected. (b) A likelihood value that the radiator is located in the first cell is calculated using the selected cell covariance matrix and the defined channel measurement vector. (a) and (b) are repeated with each cell of the plurality of cells as the first cell. A cell location of the radiator is selected based on the calculated likelihood value for each cell of the plurality of cells.

Abstract: A method of locating a radiator is provided. A channel measurement vector is defined that includes a signal value measured at each of a plurality of antennas in response to a signal transmitted from a radiator. (a) A cell covariance matrix of a first cell from a plurality of cells defined for a region in which the radiator is located is selected. (b) A likelihood value that the radiator is located in the first cell is calculated using the selected cell covariance matrix and the defined channel measurement vector. (a) and (b) are repeated with each cell of the plurality of cells as the first cell. A cell location of the radiator is selected based on the calculated likelihood value for each cell of the plurality of cells.

Abstract: A device, method, and computer-readable medium are provided. The device includes, but is not limited to, an antenna configured to receive a multipath signal and a processor operably coupled to the antenna to receive the multipath signal. The processor is configured to determine a training signal transmitted from a second device to create the received multipath signal; sample the received multipath signal; and determine channel coefficients based on the sampled multipath signal and the determined training signal using a mixed-norm convex optimization process, wherein the channel coefficients characterize a channel associated with the multipath signal.

Abstract: A device, method, and computer-readable medium are provided. The device includes, but is not limited to, an antenna configured to receive a multipath signal and a processor operably coupled to the antenna to receive the multipath signal. The processor is configured to determine a training signal transmitted from a second device to create the received multipath signal; sample the received multipath signal; and determine channel coefficients based on the sampled multipath signal and the determined training signal using a mixed-norm convex optimization process, wherein the channel coefficients characterize a channel associated with the multipath signal.

Abstract: A system and method for performing extended space-time processing. An improved symbol decision is generated of a desired sub-channel of the signal vector by first generating a baseline decision for the sub-channel. A contribution of a strongest sub-channel is subtracted from the signal vector to generate a modified signal vector. The modified signal vector is multiplied by a unitary matrix generated from a QR decomposition of another channel matrix. Channel interference of the remaining sub-channels of the modified signal vector is cancelled from a remaining sub-channel.

Abstract: A method and system is described for more optimally managing the usage of a wideband space-time multipath channel. The wideband space-time multipath channel is decomposed into a plurality of orthogonal sub-channels, where the orthogonal sub-channels having the best signaling characteristics are used for transmitting one or more signal streams. For purposes of decomposing the wideband space-time multipath channel into a plurality of orthogonal sub-channels, channel estimates are determined for each signal propagation path. A closed-form singular value decomposition of the channel corresponding to each receive antenna before coherent combining is utilized to obtain an orthogonal decomposition of the overall effective space-time channel after coherent combining. By using the overall effective space-time channel after coherent combining rather than before coherent combining, the complexity and correspondingly the resources required for obtaining the orthogonal sub-channels is significantly reduced.

Abstract: A system and method for performing extended space-time processing. An improved symbol decision is generated of a desired sub-channel of the signal vector by first generating a baseline decision for the sub-channel. A contribution of a strongest sub-channel is subtracted from the signal vector to generate a modified signal vector. The modified signal vector is multiplied by a unitary matrix generated from a QR decomposition of another channel matrix. Channel interference of the remaining sub-channels of the modified signal vector is cancelled from a remaining sub-channel.

Abstract: A method and system is described for more optimally managing the usage of a wideband space-time multipath channel. The wideband space-time multipath channel is decomposed into a plurality of orthogonal sub-channels, where the orthogonal sub-channels having the best signaling characteristics are used for transmitting one or more signal streams. For purposes of decomposing the wideband space-time multipath channel into a plurality of orthogonal sub-channels, channel estimates are determined for each signal propagation path. A closed-form singular value decomposition of the channel corresponding to each receive antenna before coherent combining is utilized to obtain an orthogonal decomposition of the overall effective space-time channel after coherent combining. By using the overall effective space-time channel after coherent combining rather than before coherent combining, the complexity and correspondingly the resources required for obtaining the orthogonal sub-channels is significantly reduced.