Abstract
In this paper, we propose an iterative detection algorithm that reconstructs and cancels the multiple-access interference jointly without the knowledge of hopping patterns of the interfering users for SFH/BPSK systems in an ad hoc scenario. Since users are asynchronous in this scenario, signal in one hop of the desired users is affected by partial signals in unaligned hops, called the interference fragments, of the interfering users. We address the interference model by defining a virtual user, which has the same hopping pattern as that of the desired user and contains the feature of the interfering fragments. Then, we derive the joint interference reconstruction and multiple-user detection (MUD) algorithm using the factor graph framework. Simulation results show that the performance of the proposed algorithm can be improved by up to 2 dB than that of the traditional single user detection (SUD) in AWGN at the packet error rate of 10−2 for a total of 8 users over 20 hopping frequencies, and an outstanding performance may also be achieved in the channel with Doppler.
Highlights
Frequency hopping (FH) is considered as a promising technique to provide robustness against interference in various scenarios such as ad hoc system in the airborne tactical network [1]
In an FH multiple-user system, a packet is divided into several hops, which are sent over different frequencies according to the hopping patterns generated pseudo-randomly
5 Conclusions In this paper, we focus on the multiple-user interference reconstruction and cancellation in ad hoc frequencyhopping multiple-user systems without the knowledge of undesired interfering users
Summary
Frequency hopping (FH) is considered as a promising technique to provide robustness against interference in various scenarios such as ad hoc system in the airborne tactical network [1]. In the scenario of an ad hoc network, a general assumption is that only the hopping patterns of the desired signal can be known at the receiver, while that of the interfering users are unknown [9]. The main contributions of this paper are as follows: (1) presenting the virtual user equivalent to simplify the MAI model, which converts the uncertain of the hopping patterns of the interfering users to the uncertain of the signals of the virtual user and (2) proposing a joint interference reconstruction and multiple-user detection (MUD) algorithm using the factor graph framework. According to the simplified MAI model, we propose an iterative detection algorithm with joint interference reconstruction and cancellation without the knowledge of hopping patterns of the interfering users for SFH/BPSK systems.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: EURASIP Journal on Wireless Communications and Networking
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
