Jammer suppression in spread spectrum communication using novel independent component analysis approach

Ranjith, Jayasanthi; Jayasanthi, M.

doi:10.1016/j.aeue.2016.03.016

Cited by 8 publications

(5 citation statements)

References 13 publications

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“…The case of r = 1 is a typical MT jamming without hopping, and r = 1000 is an MT-FH jamming with hopping every bit duration. run 1000 Monte Carlo simulations to observe a reliable BER level of 10 −5 with SJR = [−30, 0] dB and SNR = 5 and 10 dB, as used in [12], [14]. It is worthy noted that a broad-band noise jamming can be more effective than the MT-FH jamming as the SJR is too low.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

“…The next step of our AJ receiver structure is the ICA block which reconstructs the final estimate of the input data X ∈ R K×N from a mixed observation X ∈ R K×N . BSS using ICA here cannot only detect multi-user signals, but also suppress multi-user interferences, inter-symbol interferences, and intentional jamming signals in CDMA systems [12], [14]. Authors of [12] evaluate the anti-jamming performance of the receiver and show via numerical results that 5dB SJR gains in terms of bit-error-ratio (BER) of 10 −3 under AWGN channel when signal-to-noise-ratio (SNR) is fixed to 20dB.…”

Section: B the Ialm Algorithm For Robust Pcamentioning

confidence: 99%

“…Code division multiple access (CDMA) provides multiple access capability and helps increasing system throughput by applying the SS notion. CDMA is classified into time-hopping (TH), frequency-hopping (FH), and direct sequence (DS) SS, among which DS-CDMA has been mostly studied in the literature and widely applicable in reality due to its low complexity and implementation cost [5], [14]. The performance of DS-CDMA is limited by jamming signals and interferences since they often exceed the anti-jamming capability of SS techniques.…”

Section: Introductionmentioning

confidence: 99%

“…BSS with ICA separates multiple source signals by analyzing the statistical independences using higher order statistics with the assumption that signals from different sources are statistically independent [11]. BSS-ICA provides a wide applicability, including blind multiuser detection, which is to recover the source bit sequence from a received mixture without any knowledge of the user spreading code [5], and jamming suppression in CDMA communications [12][13][14]. One limitation of BSS-ICA is that it requires a number of observations equal to or larger than a number of sources that we want to separate.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

An iALM-ICA-based Anti-Jamming DS-CDMA Receiver for LMS Systems

Jung¹,

Kang²,

Lee³

et al. 2018

Preprint

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We consider a land mobile satellite communication system using spread spectrum techniques where the uplink is exposed to MT jamming attacks, and the downlink is corrupted by multi-path fading channels. We proposes an anti-jamming receiver, which exploits inherent low-dimensionality of the received signal model, by formulating a robust principal component analysis (Robust PCA)-based recovery problem. Simulation results verify that the proposed receiver outperforms the conventional receiver for a reasonable rank of the jamming signal.

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Section: Simulation Results and Discussionmentioning

confidence: 99%

Section: B the Ialm Algorithm For Robust Pcamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An iALM-ICA-based Anti-Jamming DS-CDMA Receiver for LMS Systems

Jung¹,

Kang²,

Lee³

et al. 2018

Preprint

View full text Add to dashboard Cite

show abstract

“…However, in this case, direction of arrivals of jamming signals must be estimated first, which leads to high cost and computational complexity. The other simple and promising alternatives are to use independent component analysis (ICA) [14]- [15] and wavelet packet decomposition (WPD) methods [16]- [17]. The advantage of the ICA method lies in the fact that it does not require prior information of jamming signals, i.e.…”

Section: Introductionmentioning

confidence: 99%

Designing Anti-Jamming Receivers for NR-DCSK Systems Utilizing ICA, WPD, and VMD Methods

Nguyen

Jung

et al. 2019

IEEE Trans. Circuits Syst. II

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In this work, we consider an advanced noise reduction differential chaotic shift keying (NR-DCSK) system in which a single antenna source communicates with a single antenna destination under the attack of a single antenna jammer. We devote our efforts to design a novel anti-jamming (AJ) receiver for the considered system. Particularly, we propose a variational mode decomposition-independent component analysis-wavelet packet decomposition-based (VMD-ICA-WPD-based) structure, in which the VMD method is firstly exploited to generate multiple signals from the single received one. Secondly, the ICA method is applied to coarsely separate chaotic and jamming signals. After that, the WPD method is used to finely estimate and mitigate jamming signals that exist on all outputs of the ICA method. Finally, an inverse ICA procedure is carried out, followed by a summation, and the outcome is passed through the conventional correlation-based receiver for recovering the transmitted information. Simulation results show that the proposed receiver provides significant system performance enhancement compared to that given by the conventional correlation-based receiver with WPD, i.e. 8 dB gain at BER = 0.03 and Eb/N0 = 20 dB.

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Improved ICA algorithm for ECG feature extraction and R‐peak detection

Jayasanthi

Ramamoorthy

Parthiban

2020

Adaptive Control & Signal

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SummaryElectrocardiogram (ECG) signal transmission and monitoring plays a paramount role in long‐term cardiac monitoring and analysis to provide remote health care in time, especially for the postoperative people and people in remote areas. The accuracy of ECG signals is of fundamental importance in cardiac diagnosis like R‐peak detection. So we need to incorporate analytical methods in existing healthcare systems, to capture more meaningful ECG components and to represent physical cardiac sources more clearly. With this aim, hardware optimized FCAICA (fast confluence adaptive independent component analysis) algorithm is proposed to extract pure ECG components from the ECG mixtures. The extracted signals are then subjected to R‐peak detection for further analysis. The proposed improved fast confluence adaptive independent component analysis (IFCAICA) method occupies less hardware resources, consumes low power, improves accuracy, and sensitivity in R‐peaks detection. In 0.18 nm technology, the IFCAICA consumes 10.13 mW of power and operates with 3.4 MHz operating frequency.

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Jammer suppression in spread spectrum communication using novel independent component analysis approach

Cited by 8 publications

References 13 publications

An iALM-ICA-based Anti-Jamming DS-CDMA Receiver for LMS Systems

An iALM-ICA-based Anti-Jamming DS-CDMA Receiver for LMS Systems

Designing Anti-Jamming Receivers for NR-DCSK Systems Utilizing ICA, WPD, and VMD Methods

Improved ICA algorithm for ECG feature extraction and R‐peak detection

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