Performance Analysis Of An STFT-Based Broadband Interference Excision Algorithm In DS-SS Systems

Aldırmaz, Sultan; Durak, Lütfiye

doi:10.1109/siu.2007.4298866

Cited by 2 publications

(4 citation statements)

References 6 publications

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“…2 The designed system model. [20]. In the simulations, the channel is modeled by AWGN and zeromean white Gaussian noise is mixed to the modulated data.…”

Section: Is the Bandwidth Of The Data Data Signal D(t) Is Modulated mentioning

confidence: 99%

Broadband Interference Excision in Spread Spectrum Communication Systems Based on Short-Time Fourier Transformation

Aldırmaz¹,

Durak²

2008

PIER B

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Abstract-An interference excision algorithm in direct-sequence spread spectrum (DS-SS) communication systems is introduced. The proposed excision algorithm is developed for linear frequency modulated (LFM) signals that have broadband frequency characteristics. It is based on the time-frequency analysis of received signals employing short-time Fourier transformation (STFT). To analyze the interference, STFT of the received signal block is evaluated and thresholded. The interference detection is followed by an inverse-STFT computation to estimate the high-power jamming signal. The estimated jammer is then mitigated before demodulation. Simulations present adequate interference estimation results with mean estimation errors less than 0.01%. Various scenarios with different jammer-to-signal ratios (JSRs) and signal-to-noise ratios (SNRs) vs. bit error rates (BERs) are presented for single and multi-component LFM signals. Interference excision algorithms improve the system performance more than an order of magnitude.

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“…2 The designed system model. [20]. In the simulations, the channel is modeled by AWGN and zeromean white Gaussian noise is mixed to the modulated data.…”

Section: Is the Bandwidth Of The Data Data Signal D(t) Is Modulated mentioning

confidence: 99%

Broadband Interference Excision in Spread Spectrum Communication Systems Based on Short-Time Fourier Transformation

Aldırmaz¹,

Durak²

2008

PIER B

Self Cite

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“…The time-frequency analysis method is an effective tool for nonstationary signal processing, which has been broadly used in communication, acoustics, mechanical signal processing, medical signal processing, and others [1][2][3][4][5]. Short time Fourier transform time-frequency representation (STFT-TFR) has a rich structure with dependencies along both the time and frequency axes, which is widely applied in speech [6,7], communication [8,9], and others [10,11]. A speech enhancement algorithm employing the STFT-TFR method is presented in [6], which takes advantage of the time and frequency dependencies of speech signals.…”

Section: Introductionmentioning

confidence: 99%

“…An improved method which can reconstruct the spectral phase of the speech signal is proposed in [7]; the method only depends on the fundamental frequency and the noisy observation from the STFT domain. An interference excision algorithm is proposed for direct-sequence spread spectrum communication systems [8,9], which analyze the interference in STFT timefrequency domain and detect and estimate the high-power jamming signal employing inverse STFT (ISTFT). Abdullah et al apply the STFT-TFR method to analyze the switches faults of three-phase voltage source inverter [10].…”

Section: Introductionmentioning

confidence: 99%

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Applications of an Improved Time‐Frequency Filtering Algorithm to Signal Reconstruction

Long

Wang

Zha

et al. 2017

Mathematical Problems in Engineering

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The short time Fourier transform time-frequency representation (STFT-TFR) method degenerates, and the corresponding short time Fourier transform time-frequency filtering (STFT-TFF) method fails under α stable distribution noise environment. A fractional low order short time Fourier transform (FLOSTFT) which takes advantage of fractional p order moment is proposed for α stable distribution noise environment, and the corresponding FLOSTFT time-frequency representation (FLOSTFT-TFR) algorithm is presented in this paper. We study vector formulation of the FLOSTFT and inverse FLOSTFT (IFLOSTFT) methods and propose a FLOSTFT time-frequency filtering (FLOSTFT-TFF) method which takes advantage of time-frequency localized spectra of the signal in time-frequency domain. The simulation results show that, employing the FLOSTFT-TFR method and the FLOSTFT-TFF method with an adaptive weight function, time-frequency distribution of the signals can be better gotten and time-frequency localized region of the signal can be effectively extracted from α stable distribution noise, and also the original signal can be restored employing the IFLOSTFT method. Their performances are better than the STFT-TFR and STFT-TFF methods, and MSEs are smaller in different α and GSNR cases. Finally, we apply the FLOSTFT-TFR and FLOSTFT-TFF methods to extract fault features of the bearing outer race fault signal and restore the original fault signal from α stable distribution noise; the experimental results illustrate their performances.

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Performance Analysis Of An STFT-Based Broadband Interference Excision Algorithm In DS-SS Systems

Cited by 2 publications

References 6 publications

Broadband Interference Excision in Spread Spectrum Communication Systems Based on Short-Time Fourier Transformation

Broadband Interference Excision in Spread Spectrum Communication Systems Based on Short-Time Fourier Transformation

Applications of an Improved Time‐Frequency Filtering Algorithm to Signal Reconstruction

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