Abstract
Localizing a jammer in wireless connection networks has become a crucial research problem. The main reason is that launching a jammer and blocking channels between two transceivers has become easier with the advancement of communication technologies. The aim of a jammer is to transmit its signal towards the target channel to decrease the signal noise ratio, which results in degradation in the system bit error rate, and even it can completely block the communication link between the sender and receiver. Thus, it becomes an important task to detect the jammer location that can be helpful later to stop such an attack. This chapter proposed Unscented Kalman Filtering (UKF) based on jamming power received by the node. A thorough simulation was performed to evaluate and compare the performance of UKF to the Extended Kalman Filter (EKF).
Original language | English |
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Title of host publication | Wearable and Neuronic Antennas for Medical and Wireless Applications |
Publisher | wiley |
Pages | 249-258 |
Number of pages | 10 |
ISBN (Electronic) | 9781119792581 |
ISBN (Print) | 9781119791805 |
DOIs | |
State | Published - 1 Jan 2022 |
Externally published | Yes |
Keywords
- Detection
- EKF
- Jammer
- JRSS
- Localization
- SNR
- UKF
- Wireless communication