Joint cumulant estimate correction and decision for cooperative modulation classification by using multiple sensors

Marković, Goran; Dukic, M.L.

doi:10.1007/s12243-014-0437-4

Cited by 9 publications

(41 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In Table 1, the theoretic means of fourth-order cumulant for some PSK and QAM signals are given 3 , which present suitable reference means (to set decision threshold) for reception in AWGN channels 3, [8][9][10] . The actual cumulant means for MPF channels strongly depend on MPF channel properties and SNR.…”

Section: ( )mentioning

confidence: 99%

“…The cumulant estimate quality (CEQ) defines the AMC performance [6][7][8][9][10] . Hence, the actual cumulant means and variances are estimated for all channels as shown in…”

Section: The Single Sensor Amcmentioning

confidence: 99%

“…cumulantbased AMC 3 or Kolmogornov-Smirnov 4 , present robust but sub-optimal solutions. Recently, cooperative AMC is proposed [6][7][8][9][10] , and shown to offer potential gains through multisensor reception and fusion. However, all previous studies generally observe signal reception over static MPF channels.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Robust Cooperative Modulation Classification Scheme with Intra sensor Fusion for the Time correlated Flat Fading Channels

Marković¹,

Sokolović²

2020

Def. Sc. Jl.

View full text Add to dashboard Cite

Networks with distributed sensors, e.g. cognitive radio networks or wireless sensor networks enable large-scale deployments of cooperative automatic modulation classification (AMC). Existing cooperative AMC schemes with centralised fusion offer considerable performance increase in comparison to single sensor reception. Previous studies were generally focused on AMC scenarios in which multipath channel is assumed to be static during a signal reception. However, in practical mobile environments, time-correlated multipath channels occur, which induce large negative influence on the existing cooperative AMC solutions. In this paper, we propose two novel cooperative AMC schemes with the additional intra-sensor fusion, and show that these offer significant performance improvements over the existing ones under given conditions.

show abstract

Section: ( )mentioning

confidence: 99%

“…The cumulant estimate quality (CEQ) defines the AMC performance [6][7][8][9][10] . Hence, the actual cumulant means and variances are estimated for all channels as shown in…”

Section: The Single Sensor Amcmentioning

confidence: 99%

See 1 more Smart Citation

A Robust Cooperative Modulation Classification Scheme with Intra sensor Fusion for the Time correlated Flat Fading Channels

Marković¹,

Sokolović²

2020

Def. Sc. Jl.

View full text Add to dashboard Cite

show abstract

“…To enhance the performance of data acquisition, many techniques have been proposed in the past literature, which comprises clustering [2], data aggregation [3], data fusion [4,5], heterogeneous networks architecture [6], and use of mobile devices [7]. Clustering helps to form small-sized clusters that are easy to manage.…”

Section: Introductionmentioning

confidence: 99%

“…Data aggregation and data fusion techniques are used to reduce the size of the sensed data which is to be transmitted during communication between sensor nodes and the sink node [3,4]. The paper [5] proposed many data fusion and soft decision fusion methods that are used for cooperative automatic modulation classification (AMC) by using multiple sensors.…”

Section: Introductionmentioning

confidence: 99%

Data collection model for energy-efficient wireless sensor networks

2015

View full text Add to dashboard Cite

To deal with real life scenarios for wireless sensor networks with uneven contours, connectivity issues, and dropping packets, heterogeneous sensors became the vital factor to enhance its capability in terms of energy efficiency and end-to-end packet delay. In recent times, end-to-end packet delay has a significant role in wireless sensor networks along with energy efficiency and network lifetime. In the present situation, the information delayed is information lost, and hence, end-to-end packet delay is playing an important role in wireless sensor networks. To address the issue of end-toend packet delay in wireless sensor network, a mobile clusterhead data collection model for heterogeneous wireless sensor networks has been evaluated. In this paper, the mobile clusterhead data collection model has been evaluated for two different scenarios. This paper also illustrates the velocity of the cluster-head node with which it should move to reduce the end-to-end packet delay. The mobile cluster-head data collection mobility model has been evaluated for end-to-end packet delay on the basis of data send rate, network size, sensor node density, and cluster-head node density. For verification and validation, extensive simulations have been conducted which validates that the efficient mobility pattern of the mobile cluster-head nodes can lower end-to-end packet delay of wireless sensor networks. Keywords Mobile cluster-head . Mobile data collector . Average end-to-end packet delay . Data-delivery ratio . Energy consumed Abbreviations VAS Voronoi ant systems VCP Voronoi control packet MTWSW Modified two-way sliding window MCHDC Mobile cluster-head data collection WSN Wireless sensor network HP Head point MAC Media access control BSN Base station node (sink node)

show abstract

Automatic modulation classification: Cauchy-Score-function-based cyclic correlation spectrum and FC-MLP under mixed noise and fading channels

Luan

Gao

Liu

et al. 2022

Digital Signal Processing

View full text Add to dashboard Cite

Joint cumulant estimate correction and decision for cooperative modulation classification by using multiple sensors

Cited by 9 publications

References 20 publications

A Robust Cooperative Modulation Classification Scheme with Intra sensor Fusion for the Time correlated Flat Fading Channels

A Robust Cooperative Modulation Classification Scheme with Intra sensor Fusion for the Time correlated Flat Fading Channels

Data collection model for energy-efficient wireless sensor networks

Automatic modulation classification: Cauchy-Score-function-based cyclic correlation spectrum and FC-MLP under mixed noise and fading channels

Contact Info

Product

Resources

About