Surveillance Resource Allocation and Planning System (SRAPS) Research Developnent

This proposal research will develop algorithms and systems for optimizing the allocation of acoustic surveillance resources. S S will have access to the best acoustic prediction models and data. Settings which provide good performance in one acoustic enviroriment may be subpar in other envirormients. We propose to design SRAPS to interface with SPARS to take advantage of existing and planned SPARS features. This is a low risk approach because Wagner Associates is currently developing a search module for M APB, based on CCAS, which is interoperable with SPARS. SRAPS will feature advanced mathematical techniques in integer prograiTiming. The resource allocation problem belongs to a set of integer prograi.Tiing problems #!ich is called "NP-hard." An approach is described which will produce near-opti-mal solutions with short runti-mes. Also, the SRAPS user interface will incorporate good hum an factors design and lead surveillance system operators in a logical fashion through the process of determining system settings. The se ^ence of operator prompts will be designed so that the current situation will determine priorities and recorrmendations. Phase I will consist of algorithm development and system interface design. Phase II wLll provide a full-scale working prototn)e system suitable for operational evaluation and iiRplementation .