results for au:Stein_M in:eess
Detecting the presence of an active random wireless source with minimum latency utilizing array signal processing is considered. The problem is studied under the constraint that the analog-to-digital conversion at each radio sensor is restricted to the reading of the analog receive signal sign. We formulate the digital signal processing task as a sequential hypothesis test in simple form. To circumvent the intractable log-likelihood ratio of the resulting multivariate binary array data, a reduced model representation within the exponential family is employed. This approach allows us to design a sequential test and to analyze its analytic performance along classical arguments. In the context of wireless spectrum monitoring for satellite-based navigation and synchronization systems, we study the achievable processing latency, characterized by the average sample number, as a function of the antennas in use. The practical feasibility and potential of the discussed low-complexity sensing and decision-making technology is demonstrated via simulations.