Optimizing probability of detection in a wireless sensor network radio frequency array

We present the design of a randomly distributed radio frequency signal detection and reception array constructed of wireless sensor network nodes. The design stresses initial signal detection using the wireless network array. All other array operations depend on first detecting a signal of interest prior to activating follow-on sequences of signal processing, potentially including geolocation of the emitter and reception/demodulation of the signal. Of specific concern in network operations will be conservation of energy costs while providing an operable array for target signal detection and follow-on processing. Using the Neyman-Pearson criterion, a desired aperture can be determined providing an optimal probability of detection against an acceptable false alarm rate. Control of these parameters will be based on usage of the distributed wireless sensor nodes. The sensor nodes will be segmented into sub-arrays to produce the desired aperture. Upon signal detection, the network may then further optimize the aperture for purposes of increasing signal to noise ratio in signal processing.