The contractor must improve the function of the existing MSSA software so that the software correctly detects and characterizes LPI signals in channels that are currently occupied by other manmade signals. Specifically, cyclostationary theory must be applied to enhance the MSSA software detection and characterization algorithms to reduce false detection and characterization as well as reduce processing time in a variety of spectral scenarios. These scenarios, to be specified by NRL Code 8124, are mission driven and not necessarily known in advance, but will involve multiple co–channel and adjacent channel interferers. The scenarios will require the contractor to develop and generate a simulated signal suite that includes DSSS, FH, OFDM, a variety of PSK, MSK, and interfering signals. These signals must be combined with a recorded signal environment, as collected by NRL Code 8124, to generate spectral scenarios that fully exercise the performance of the MSSA software.The contractor must enhance existing software modules or develop new ones, within the existing MSSA software structure, to provide NRL Code 8124 mission specific tools for the detection and classification of LPI signals in certain environments where a priori knowledge is known.The contractor must improve the function of the existing MSSA software so that the software most efficiently utilizes multi–core processors to minimize processing time and maximize signal detection and characterization accuracy of LPI signals in spectrally congested channels. Specifically, cyclostationary theory must be applied to the MSSA software function to determine which detection and characterization functions are most appropriately assigned to specific processing hardware to leverage additional processing cores, improving signal detection accuracy. The contractor shall confirm multi–core processing improvements through processing timing in addition to signal detection and characterization measurements that have been establis