Abstract: A computer-implemented method is provided for detecting a target amidst clutter by a radar system able to transmit an electromagnetic signal, receive first and second echoes respectively from the target and the clutter, and process the echoes. The method includes determining signal convolution matrix for the target and a target return phase, clutter amplitude by spatial correlation matrix of clutter, clutter correlation matrix, receive noise power; querying whether the clutter moves as a motion condition if satisfied and as a stationary condition otherwise; calculating signal convolution matrix and target return phase from the signal convolution matrix and the target return phase for target motion; querying whether the target has range migration as a migration condition if satisfied and as a non-migration condition otherwise; and forming a target detector for the radar.

Abstract: A computer-implemented method is provided for identifying a target amid clutter and minimize cross-talk from receive signals returned therefrom via a Multiple Input Multiple Output (MIMO) radar system that emits transmit signals into a resolution cell that contains the target and the clutter. The method includes employing a match filter to estimate a set of parameters from each receive signal of the receive signals; determining interference correlation; estimating clutter correlation; forming an optimum detector with the estimated correlation for each receive signal among the receive signals; employing the optimum detector to estimate the target set of parameters from each receive signal as an estimated target parameter; returning to the forming operation in response to the estimated target parameter exceeding an established tolerance; and applying the estimated target parameter to the receive signals for submission to the MIMO radar system.

Abstract: A computer-implemented method is provided for detecting a target amidst clutter by a radar system able to transmit an electromagnetic signal, receive first and second echoes respectively from the target and the clutter, and process the echoes. The method includes determining signal convolution matrix for the target and a target return phase, clutter amplitude by spatial correlation matrix of clutter, clutter correlation matrix, receive noise power; querying whether the clutter moves as a motion condition if satisfied and as a stationary condition otherwise; calculating signal convolution matrix and target return phase from the signal convolution matrix and the target return phase for target motion; querying whether the target has range migration as a migration condition if satisfied and as a non-migration condition otherwise; and forming a target detector for the radar.

Abstract: A computer-implemented method is provided for maximizing surveillance volume in a radar system. This includes determining saturation range probability fsat; determining sensitivity probability fsens; calculating surveillance volume from multiplying the saturation range probability by the sensitivity probability as Vs=fsatfsens; and adjusting the radar system to maximize the surveillance volume.

Abstract: A computer-implemented method is provided for maximizing surveillance volume in a radar system. This includes determining saturation range probability fsat; determining sensitivity probability fsens; calculating surveillance volume from multiplying the saturation range probability by the sensitivity probability as Vs=fsatfsens; and adjusting the radar system to maximize the surveillance volume.

Abstract: A computer-implemented method is provided for maximizing surveillance volume in a radar system. This includes determining saturation range probability fsat; determining sensitivity probability fsens; calculating surveillance volume from multiplying the saturation range probability by the sensitivity probability as Vs= fsat·fsens; and adjusting the radar system to maximize the surveillance volume.