RSS-based Positioning of Multiple Co-Channel Targets with Unknown Transmit Power in a Log-Normal Shadowing Scenario

Authors

E. Zandi, R. Mathar,

Abstract

        Abstract—This paper tackles the problem of target localization of multiple co-channel targets based on the sum of the received signal strength of all targets at different sensor nodes. The problem is hard, since the targets can transmit at the same time on the same channel. The propagation channel is assumed to be log-normal shadowing model. We propose an unbiased estimator. The underlying complicated optimization problem is then solved by a heuristic based on mixed-integer programming, which presents a low-complexity. The performance of the estimator is justified to be good using simulations.

Index Terms

multi-source localization, compressed sensing, mixed-integer programming, internet of things

BibTEX Reference Entry 

@inproceedings{ZaMa18b,
	author = {Ehsan Zandi and Rudolf Mathar},
	title = "{RSS}-based Positioning of Multiple Co-Channel Targets with Unknown Transmit Power in a Log-Normal Shadowing Scenario",
	pages = "1-6",
	booktitle = "2018 {IEEE} International Conference on Wireless for Space and Extreme Environments (WiSEE'18)",
	address = {Huntsville, AL, USA},
	month = Dec,
	year = 2018,
	hsb = RWTH-2019-00879,
	}

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