2021/06/16 by M. A. Teeti
Computer Science · Engineering · Mathematics · #Algorithm #Arithmetic #Beamforming #Binary number #Channel (broadcasting) #Combinatorics #Computer science #Decoding methods #Distributed Sensor Networks and Detection Algorithms #Energy Harvesting in Wireless Networks #Fading #Jamming #MIMO #Mathematics #Physics #Rayleigh fading #Statistics #Telecommunications #Topology (electrical circuits) #Transmitter #Wireless Communication Security Techniques #cs.IT #math.IT
paper · pdf · doi:10.1016/j.dsp.2021.103144
published as Digital Signal Processing, Volume 117, 2021,103144, ISSN 1051-2004 · 13 pages (two-column), 12 figures, 1 table, 32 references
openalex publication_date 2021/06/16 · openalex created_date 2021/06/22 · arxiv created 2021/09/06 · arxiv updated 2021/09/07 · openalex updated_date 2026/08/05
This paper studies the problem of deciding on the absence (i.e., null hypothesis, H0) or presence (i.e., alternative hypothesis, H1) of an unknown signal embedded in the received signal in a multiple-input, multiple-output (MIMO) receiver, employing 1-bit quantization. The originality of our solution lies in quantizing the received signal by an adapted 1-bit window comparator, rather than a traditional 1-bit quantizer. This enables us to divide the space of observed binary sequences into two typical sets (w.r.t. the distribution of the no. of 1's in a sequence) asymptotically, where the first set corresponds to H0 and the second to H1. As a result, we reduce the detection problem to determining the highly probable set for an observed sequence. Thus, a very low-complexity binary hypothesis detector is proposed and its probability of detection is given. To show the high efficacy of the proposed 1-bit receiver structure, we consider two wireless applications; jamming detection in a massive MIMO system, and probing a non-stationary low-power transmitter in a wireless sensor network (WSN), assuming unknown Rayleigh-fading channels. Compared with an unquantized system employing a chi-square test, it is shown that the performance loss can be roughly as large as 10% in massive MIMO and this gap diminishes as sequence length or/and jamming power increases. For WSN, we show that compared with an unquantized system, the performance gap becomes smaller when the observation interval is extended over a few symbols.