Effect of ADC and receiver saturation on adaptive spatial filtering of directional interference

Farina, A.; Ortenzi, L.

doi:10.1016/s0165-1684(02)00507-8

Cited by 11 publications

(6 citation statements)

References 1 publication

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“…Clearly, P 0 depends on the saturation value of the initiator's ADC. This threshold is usually lower than the initiator's nominal saturation value due to the nonlinearity effect of ADCs [10]. Based on the results in Fig.…”

Section: Limitations On Power Superpositionmentioning

confidence: 93%

“…We cannot ensure that MPO is always below a certain value with more responders. (2) Constrained by the saturation rate of ADC built in the initiator, sample values exceeding a threshold will be truncated [10], which indicates that there exists an upper bound on the observed received power of a superposed signal.…”

Section: Limitations On Power Superpositionmentioning

confidence: 99%

“…We test different values of the total number of samples M (5,10,15) in which the first sample is used to get a coarse estimation and the rest M − 1 samples are used to get an accurate estimation. We conduct 200 rounds of experiments for each number of responders varying from 21 to 50.…”

Section: B Performance Evaluation Of Poc and Poidmentioning

confidence: 99%

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Fast and fine-grained counting and identification via constructive interference in WSNs

Dong

Tang

et al. 2014

IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks

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Counting and identifying neighboring active nodes are two fundamental operations in wireless sensor networks (WSNs). In this paper, we propose two mechanisms, Power based Counting (Poc) and Power based Identification (Poid), which achieve fast and accurate counting and identification by allowing neighbors to respond simultaneously to a poller. A key observation that motivates our design is that the power of a superposed signal increases with the number of component signals under the condition of constructive interference (CI). However, due to the phase offsets and various hardware limitations (e.g., ADC saturation), the increased superposed power exhibits dynamic and diminishing returns as the number of component signals increases. This uncertainty of phase offsets and diminishing returns property of the superposed power pose serious challenges to the design of both Poc and Poid. To overcome these challenges, we design delay compensation methods to reduce the phase offset of each component signal, and propose a novel probabilistic estimation technique in cooperation with CI. We implement Poc and Poid on a testbed of 1 USRP and 50 TelosB nodes, the experimental results show that the accuracy of Poc is above 97.9%, and the accuracy of Poid is above 96.5% for most cases. In addition to their high accuracy, our methods demonstrate significant advantages over the state-of-the-art solutions in terms of substantially lower energy consumption and estimation delay.

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Section: Limitations On Power Superpositionmentioning

confidence: 93%

Section: Limitations On Power Superpositionmentioning

confidence: 99%

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Fast and fine-grained counting and identification via constructive interference in WSNs

Dong

Tang

et al. 2014

IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks

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show abstract

“…The main obstacle lies in the fact that the desired signal from a neighbor node is much weaker (up to 60 dB) than the local transmission. New engineering design in either the analog domain (for circuit noise cancellation) or the digital domain (for digital noise cancellation after ADC sampling) is necessary [15]. A recent work of Choi et al [16] studies a new way of implementing a full-duplex wireless link with off-the-shelf hardware only.…”

Section: A Wireless Network Modelmentioning

confidence: 99%

“…The distance between and any cluster head, which is not , is at least , as each node belongs to a cluster of the closest head (lines [10][11][12][13][14][15]. In the proof of Lemma 4.3, we showed that for any .…”

Section: B Analysismentioning

confidence: 99%

Throughput and Energy Efficiency in Wireless Ad Hoc Networks With Gaussian Channels

Shpungin

2012

IEEE/ACM Trans. Networking

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This paper studies the bottleneck link capacity under the Gaussian channel model in strongly connected random wireless ad hoc networks, with nodes independently and uniformly distributed in a unit square. We assume that each node is equipped with two transceivers (one for transmission and one for reception) and allow all nodes to transmit simultaneously. We draw lower and upper bounds, in terms of bottleneck link capacity, for homogeneous networks (all nodes have the same transmission power level) and propose an energy-efficient power assignment algorithm (CBPA) for heterogeneous networks (nodes may have different power levels), with a provable bottleneck link capacity guarantee of , where is the channel bandwidth. In addition, we develop a distributed implementation of CBPA with message complexity and provide extensive simulation results.Index Terms-Algorithm design and analysis, approximation algorithms, channel capacity, distributed algorithms, network topology, wireless communication.

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Mitigation of saturation in adaptive clutter cancellation

Farina¹,

Petrucci

Chen

et al. 2016

2016 IEEE Radar Conference (RadarConf)

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Effect of ADC and receiver saturation on adaptive spatial filtering of directional interference

Cited by 11 publications

References 1 publication

Fast and fine-grained counting and identification via constructive interference in WSNs

Fast and fine-grained counting and identification via constructive interference in WSNs

Throughput and Energy Efficiency in Wireless Ad Hoc Networks With Gaussian Channels

Mitigation of saturation in adaptive clutter cancellation

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