Detection of low observable moving target in sea clutter via fractal characteristics in fractional Fourier transform domain

Chen, Xiaolong; Guan, Jian; He, You; Zhang, Jian

doi:10.1049/iet-rsn.2012.0116

Cited by 68 publications

(46 citation statements)

References 28 publications

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“…Fractional Fourier transform is confined to the application of chirp signals only, which are linear frequency modulation (LFM) signals. The FrFT of signal x(t) as defined in [24,29,30]:…”

Section: Fractional Fourier Transform (Frft)mentioning

confidence: 99%

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A Novel Fractional Fourier Transform-Based ASK-OFDM System for Underwater Acoustic Communications

2017

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Abstract:A key research area in wireless transmission is underwater communications. It has a vital role in applications such as underwater sensor networks (UWSNs) and disaster detection. The underwater channel is very unique as compared to other alternatives of transmission channels. It is characterized by path loss, multipath fading, Doppler spread and ambient noise. Thus, the bit error rate (BER) is increased to a large extent when compared to its counterpart of cellular communications. Acoustic signals are the current best solution for underwater communications. The use of electromagnetic or optical waves obviously entails a much higher data rate. However, they suffer from high attenuation, absorption or scattering. This paper proposes a novel fractional fast Fourier transform (FrFT)-orthogonal frequency division multiplexing (FrFT-OFDM) system for underwater acoustic (UWA) communication-which employs the amplitude shift keying (ASK) modulation technique (FrFT-ASK-OFDM). Specifically, ASK achieves a better bandwidth efficiency as compared to other commonly used modulation techniques, such as quadrature amplitude modulation (QAM) and phase shift keying (PSK). In particular, the system proposed in this article can achieve a very promising BER performance, and can reach higher data rates when compared to other systems proposed in the literature. The BER performance of the proposed system is evaluated numerically, and is compared to the corresponding M-ary QAM system in the UWA channel for the same channel conditions. Moreover, the performance of the proposed system is compared to the conventional fast Fourier transform (FFT)-OFDM (FFT-OFDM) system in the absence and presence of the effect of carrier frequency offset (CFO). Numerical results show that the proposed system outperforms the conventional FFT-based systems for UWA channels, even in channels dominated by CFO. Moreover, the spectral efficiency and data rate of the proposed system are approximately double the values of the corresponding conventional OFDM systems for the same parameters.

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“…Fractional Fourier transform is confined to the application of chirp signals only, which are linear frequency modulation (LFM) signals. The FrFT of signal x(t) as defined in [24,29,30]:…”

Section: Fractional Fourier Transform (Frft)mentioning

confidence: 99%

“…where F m is the FrFT operator, m denotes a real integer and H m (t, u) is the FrFT kernel, which is given as [24,29,30]:…”

Section: Fractional Fourier Transform (Frft)mentioning

confidence: 99%

A Novel Fractional Fourier Transform-Based ASK-OFDM System for Underwater Acoustic Communications

2017

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“…The generalized likelihood ratio (GLR) and marginalized likelihood ratio (MLR) method are proposed for maneuvering target tracking. The MLR test appears to be more efficient than the GLR test assuming more prior information [14]. In this paper, Aiming at the existing problems of current algorithm for maneuvering target tracking, a model adaptive maneuvering target tracking algorithm using IMM based Kalman filters is proposed.…”

Section: Introductionmentioning

confidence: 99%

Maneuvering Target Tracking Based on EBPSK Modulated JRC System

Yu¹,

Teng²,

Wu³

2016

IJIEE

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Abstract-Aiming at the existing problems of current algorithm for maneuvering target tracking, the paper proposed a new scheme that uses a joint radar-communication (JRC) system with Kalman filters to accurately tracking the target with the generalized likelihood ratio test (GLRT) theory. First, the tracking model of extended binary phase shift keying (EBPSK) modulated JRC system is introduced. Also, generalized likelihood ratio (GLR) and marginalized likelihood ratio (MLR) algorithm were given. Moreover, an adaptive maneuvering target tracking algorithm using interacting multiple model (IMM) technique is combined with Kalman filters to adapt the target maneuver. In addition to theoretical considerations, the EBPSK modulated JRC system based on the proposed algorithms on maneuvering target tracking problem are validated and evaluated by computer simulations.Index Terms-Extended binary phase shift keying (EBPSK), interacting multiple model (IMM), Kalman filter, maneuvering target tracking, joint radar-communication.

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“…Usually, the low signal-to-clutter ratio (SCR) environment may result in severe performance degradation of fractal-based detection methods because the fractal characteristic between sea clutter and target in time domain cannot be separated and used for robust detection. Using the Doppler information of the target, we proposed a detection algorithm for the moving target at sea via fractal characteristics in fractional Fourier transform (FRFT) domain [8]. However, the results are mainly based on the validations of real sea clutter data and the calculations can be very time-consuming.…”

Section: Introductionmentioning

confidence: 99%

Sea clutter suppression and micromotion marine target detection via radon‐linear canonical ambiguity function

Chen

Wang

Dong

et al. 2015

IET Radar, Sonar & Navigation

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The micro-Doppler (m-D) signature of a marine target is used for detection within sea clutter in this study. The marine target usually has translational and rotational motions, and the corresponding radar returns can be modelled as a quadratic frequency modulated signal over a period of time. To compensate the range walk and Doppler migration of the micromotion target simultaneously, a novel long-time coherent integration detection algorithm, that is, Radon-linear canonical ambiguity function (RLCAF), is proposed. It has been proved that the m-D signal can be well matched and accumulated in the RLCAF domain using the long-time instantaneous autocorrelation function and associated with the parameterisation of the linear canonical transform. Furthermore, to suppress sea clutter and improve signal-to-clutter ratio, the authors propose a RLCAF spectrum subtraction method using the different properties of RLCAF representations between the target and sea clutter. Finally, experiments with real radar dataset indicate that the proposed method can achieve better integration and detection performance of a marine target with micromotion in case of high sea state.

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Detection of low observable moving target in sea clutter via fractal characteristics in fractional Fourier transform domain

Cited by 68 publications

References 28 publications

A Novel Fractional Fourier Transform-Based ASK-OFDM System for Underwater Acoustic Communications

A Novel Fractional Fourier Transform-Based ASK-OFDM System for Underwater Acoustic Communications

Maneuvering Target Tracking Based on EBPSK Modulated JRC System

Sea clutter suppression and micromotion marine target detection via radon‐linear canonical ambiguity function

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