An Integrated Approach for Jammer Detection using Software Defined Radio

Abstract Due to shared nature of wireless communication any malicious user can easily monitored communication between two devices and emits false message to block communication. Nowadays increased use of software defined radio (SDR) technology makes any types of jammer device using same hardware with little modification in software. A jammer transmits radio signal to block legitimate communication either overlapping signal with more power or reducing signal to noise ratio. In this paper we have survey different jammer detection methods for efficient detection of jammers presence in system. Existing jammer detection methods like packet delivery ratio (PDR), packet send ratio (PSR), bad packet ratio (BPR) and signal to noise ratio (SNR) can effectively detects jammer, here we have proposed novel method for jammer detection using communication parameter used in SDR like synchronization indicator, iteration and adaptive signal to jammer plus noise ratio (ASNJR). This system uses that parameter which is readily available in system so computation has been reduced and ASNJR also has been adaptively updated with and without presence of jammer. Experimental result show that this system based on SDR effectively detects presence of jammer.

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