Facilitation of efficient signal source location employing a coarse algorithm and high-resolution computation

A computer-implemented method, comprising:

• implementing, by a system operatively coupled to a processor, a coarse algorithm comprising a beam-forming algorithm that determines an approximate location of a source signal;
• after the implementing the coarse algorithm, estimating, by the system, an estimation error of the coarse algorithm, wherein the estimation error and an approximate direction of arrival (DOA) of the source signal are employed to determine a spatial interval range, and wherein the estimation error is a function of a steering vector and a covariance matrix from sensor measurements associated with the source signal;
• and
• determining, by the system, based on the spatial interval range, input data and a refined spatial grid, a detailed location of the source signal based on a de-convolution approach for a mapping of an acoustic sources algorithm or CLEAN algorithm, wherein the coarse algorithm is performed first, the estimation of estimation error is performed after the coarse algorithm and wherein the determination of the detailed location of the source signal is performed after the estimation of the estimation error.

A computer program product facilitating determining a location of a signal source, the computer program product comprising a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions are executable by a processor to:

• implement, by the processor, a coarse algorithm comprising a beam-forming algorithm that determines an approximate location of a source signal;
• after the implementing the course algorithm, estimate, by the processor, an estimation error of a coarse algorithm comprising a beam-forming algorithm that determines an approximate location of a source signal, wherein the estimation error and an approximate direction of arrival (DOA) are employed to determine a spatial interval range;
• and
• determining, by the system, based on the spatial interval range, input data and a refined spatial grid, a detailed location of the source signal based on a de-convolution approach for a mapping of an acoustic sources algorithm of a CLEAN algorithm.