# Rician MIMO Channel- and Jamming-Aware Decision Fusion

## TL;DR

This paper develops and analyzes energy-efficient, channel-aware decision fusion rules for wireless sensor networks with Rician fading channels, considering unknown interference and demonstrating jamming suppression capabilities.

## Contribution

It introduces sub-optimal fusion rules based on statistical channel information and extends them to handle unknown jamming interference in Rician MIMO channels.

## Key findings

- Proposed fusion rules effectively suppress jamming interference.
- Rules perform well with only statistical channel knowledge.
- Numerical results validate the fusion rules' effectiveness.

## Abstract

In this manuscript we study channel-aware decision fusion (DF) in a wireless sensor network (WSN) where: (i) the sensors transmit their decisions simultaneously for spectral efficiency purposes and the DF center (DFC) is equipped with multiple antennas; (ii) each sensor-DFC channel is described via a Rician model. As opposed to the existing literature, in order to account for stringent energy constraints in the WSN, only statistical channel information is assumed for the non-line-of sight (scattered) fading terms. For such a scenario, sub-optimal fusion rules are developed in order to deal with the exponential complexity of the likelihood ratio test (LRT) and impractical (complete) system knowledge. Furthermore, the considered model is extended to the case of (partially unknown) jamming-originated interference. Then the obtained fusion rules are modified with the use of composite hypothesis testing framework and generalized LRT. Coincidence and statistical equivalence among them are also investigated under some relevant simplified scenarios. Numerical results compare the proposed rules and highlight their jammingsuppression capability.