Multilayer LMS interference suppression algorithms for CDMA wireless networks

Glisic, Savo; Nikolić, Z.; Dimitrijević, Bojan; Woodward, Graeme

doi:10.1109/26.864178

Cited by 6 publications

(9 citation statements)

References 8 publications

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“…Interference suppression issues have been extensively discussed in recent studies. To overcome the noise interference generated by communication circuits, many interesting interference suppression methods have been proposed [1][2][3][4][5][6][7][8][9][10][11]. In [1], joint suppression of two interferences was implemented in a receiver design based on the criterion of the minimum mean-squared error (MMSE).…”

Section: Introductionmentioning

confidence: 99%

Application of Microwave Integrators for Interference Suppression

Tsai¹

2017

PIER C

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In this study, a trapezoidal-rule integrator and inverting a differentiator are employed to form the transfer function of an approaching integrator in the Z domain. The integrator was implemented to verify the feasibility of the technique, and the integrator exhibited an operating frequency of 1.45 to 6 GHz. Adding microwave integrators to a receiver's radio frequency (RF) circuits in a communication link improves the signal-to-noise ratio (SNR). As a result, an experimental environment was constructed in a wireless local area network (WLAN) band (2400 to 2483.5 MHz). In addition, the RF transmitter emitted the main signal at 2.45 GHz, which included the high-frequency interfering signals at 3.5, 4.5, and 5.5 GHz. The integrators and low-pass filters were implemented to perform signal analysis of the RF signals. To compare the interference suppression of the integrators with the interference suppression of the original and low-pass filters, the receiving power of the main signal and the interfering signals from the different frequencies in the end of the receiver were analyzed. The experimental results indicated that inserting integrators into RF circuits improved the SNR of the communication link by up to 10 dB.

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Section: Introductionmentioning

confidence: 99%

Application of Microwave Integrators for Interference Suppression

Tsai¹

2017

PIER C

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“…Substituting (2) into (7), and using the fact that the SS signal, the NBI and the AWGN signal are independent of each other, φ rr (k, f ) can be calculated as (8) where φ ss (k), φ v l v l (k) and φ ww (k) are the autocorrelations of the SS signal, the NBI and the white noise, respectively. From (8), we have…”

Section: A a New Filter Coefficients Adjustment Methodsmentioning

confidence: 99%

“…Therefore, in the presence of FH-NBI, the performance of the notch filter in the frequency domain degrades severely because of the high miss detection probability and the distortion of the SS signal. Fig.3 shows the block diagram of the adaptive prediction filter in the time domain [8]. The predicted NBI signalṽ(n) is generated by an adaptive prediction filter from the received signal r(n).…”

Section: A Notch Filter In the Frequency Domainmentioning

confidence: 99%

“…The time-domain approaches suppress NBI by removing the temporal correlation contained in the received signal using adaptive prediction filters [5] [6], whose presence is mainly ascribed to the NBI. Among the conventional NBI suppression algorithms, the notch filter in the frequency domain and the LMS adaptive prediction filter in the time domain are two widely used algorithms [7] [8].…”

Section: Introductionmentioning

confidence: 99%

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Frequency-Hopping Narrowband Interference Suppression in Spread-Spectrum Systems

Zhao

Yang

Zhao

2013

2013 IEEE 77th Vehicular Technology Conference (VTC Spring)

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This paper studies the suppression of frequencyhopping (FH) narrowband interference (NBI) in spread-spectrum (SS) systems. Existing NBI suppression algorithms focus on the case that the center frequency of the NBI is invariant and the performance degrades severely when the NBI is frequencyhopping. In this paper, an FH-NBI suppression algorithm is proposed based on the time-domain least mean square (LMS) prediction filter. The proposed algorithm detects the instant when the NBI hops from one frequency to another, and updates the filter coefficients using a novel method, which avoids the convergence time required in the conventional LMS algorithm. Both theoretical analysis and simulation results show that the proposed algorithm can suppress FH-NBI much more effectively than the existing algorithms.

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“…This has been a difficult problem and only a few other solution have been proposed, e.g. [9], [10], [11]. The Polar-suppressor [6] in its general form is depicted in Fig.…”

Section: B Polar-algorithmmentioning

confidence: 99%

Synchronization of FH/DS Signal with Interference Suppression Diversity

Pouttu

Raustia

Saarnisaari

2006

2006 IEEE Ninth International Symposium on Spread Spectrum Techniques and Applications

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Abstract-The interference suppression problem has introduced a large variety of suppression algorithms. A large majority of the proposed algorithms is targeted against a spesific type of interference signal and fail to suppress other types of interfering signals. In this paper we examine a earlierly proposed SINR estimator based method to select between several relatively simple interference suppression methods. In this paper we examine the applicability and performance of the approach in timing synchronization.In this study the interference suppression selection is made between pure matched filter, CME-notch, and Polarsuppression filters.The approach in the paper is to use a DPSK-modulated hybrid direct sequence (DS) frequency hopping (FH) system model but the suppression method is also applicable to pure DS-system or MC/CDMA-system. The performance results show that this approach has the capability to operate under wide range of interference parameters.

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Multilayer LMS interference suppression algorithms for CDMA wireless networks

Cited by 6 publications

References 8 publications

Application of Microwave Integrators for Interference Suppression

Application of Microwave Integrators for Interference Suppression

Frequency-Hopping Narrowband Interference Suppression in Spread-Spectrum Systems

Synchronization of FH/DS Signal with Interference Suppression Diversity

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