Spatial Modulation Based Multiple Access for Ambient Backscatter Networks

Novel Signal Detectors for Ambient Backscatter Communications in Internet of Things Applications

“…Note also that this work assumes frequency-flat fading, binary modulation at the tag and a single tag scenario, as shown in (3). These assumptions may be different from or more restrictive than those in [11] - [14] but they follow the same model as that in [16] - [25], since the purpose of this work is to extend the energy detectors derived in [19] and [21] to the new optimal detectors and the detectors in [16] - [25] to partially coherent detectors under similar scenarios. One may extend our new detectors further to M-ary modulation by using the method in [32], to multiple tags by using the method in [31], and to frequency-selective fading channels by using OFDM and the method in [47].…”

“…Based on this, its transmission rate was optimized. In [14], spatial modulation and spatial multiple access were applied to AmBC. A modified maximum likelihood detector and multiuser sparse Bayesian learning based detector were proposed to detect the backscattered signal.…”

“…(13)] and [19, eq. (15)] as benchmark, 'Magnitude, GauApp' refers to the new IED in (7) with theoretical approximate BER in ( 9) and (10) when p = 1, 'Magnitude, NakApp' refers to the approximate magnitude detector in (14) with theoretical approximate BER in (16) and (17). The energy detector is not shown, as it is equivalent to the ML detector.…”