Comb waveform optimisation with low peak‐to‐average power ratio via alternating projection

Wang, Yan; He, Yuliang; Wang, Jinjin; Shi, Zhibo

doi:10.1049/iet-rsn.2018.0039

Cited by 8 publications

(5 citation statements)

References 19 publications

(26 reference statements)

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“…It is an effective tool for signal analysis and waveform design [ 16 ]. The broadband ambiguity function of the signal is expressed as [ 4 , 7 ]

which can be realized in the frequency domain as [ 16 ]

where

is the Doppler compression factor,

is the speed of sound in the water, and

is the speed of the target. The distance ambiguity function

is obtained when

.…”

Section: Analyses Of the Ptfm Signal Spectrum And Ambiguity Functionmentioning

confidence: 99%

“…If the transmit waveform and receiver can be optimized based on prior knowledge of the environment and target characteristics, interference can be significantly reduced, and target detection and recognition performance can be improved [ 1 , 2 , 3 ]. In a shallow water environment, reverberation is the main interference for active sonar; therefore, a sonar system’s emission waveform should have reverberation suppression capability [ 4 ]. A long continuous wave pulse and a broadband flat-spectrum pulse have good reverberation suppression abilities for high-speed and stationary targets, respectively [ 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

“…Pulse train signals involve repeated periodic transmission of a kernel waveform at a pulse repetition interval, such as a PTFM signal. Frequency comb signals involve transmitting multiple tones, such as a sinusoidal frequency (SFM) signal, uniform comb (UC) signal, geometric comb (GC) signal, and Costas signal, simultaneously [ 4 , 7 ].…”

Section: Introductionmentioning

confidence: 99%

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A Reverberation Suppression Method Based on the Joint Design of a PTFM Waveform and Receiver Filter

Lei

Liu

Duan

et al. 2022

Entropy

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Transmitting waveform design and signal processing method optimization are effective ways to improve a sonar system’s detection performance. In this study, the spectrum and ambiguity function characteristics of pulse trains of frequency modulation (PTFM) signals were deduced and analyzed to address the problem of serious reverberation interference in the detection of low-speed targets in shallow water environments. The action mechanisms of PTFM signal parameters on the comb spectrum and bed of nails ambiguity function were identified. PTFM signal parameters were designed according to reverberation suppression requirements. The threshold was calculated using the estimate-before-detect method, and the comb spectrum waveform cognitive filtering detection algorithm is proposed. The simulation and lake experimental results show that the PTFM signals’ reverberation suppression ability for low-speed targets was better than it was for stationary or high-speed targets. The proposed method has good universality, which can improve the output signal-to-reverberation ratio (SRR) by more than 6 dB.

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“…It is an effective tool for signal analysis and waveform design [ 16 ]. The broadband ambiguity function of the signal is expressed as [ 4 , 7 ]

which can be realized in the frequency domain as [ 16 ]

where

is the Doppler compression factor,

is the speed of sound in the water, and

is the speed of the target. The distance ambiguity function

is obtained when

.…”

Section: Analyses Of the Ptfm Signal Spectrum And Ambiguity Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Reverberation Suppression Method Based on the Joint Design of a PTFM Waveform and Receiver Filter

Lei

Liu

Duan

et al. 2022

Entropy

View full text Add to dashboard Cite

show abstract

“…The basic principle of active sonar waveform design is that the signal should have Doppler reverberation suppression ability, noise suppression ability, and good emission performance. Therefore, ensuring the ability of the active sonar system to detect medium and long-range targets [2]. Cox et al [3] refer to a pulse signal with multiple narrowband segments on the spectrum as a comb waveform (CW), whose energy is distributed in multiple narrowband segments but is still a broadband signal.…”

Section: Introductionmentioning

confidence: 99%

Underwater Reverberation Suppression via Attention and Cepstrum Analysis-Guided Network

Hao

Wang

et al. 2023

JMSE

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Active sonar systems are one of the most commonly used acoustic devices for underwater equipment. They use observed signals, which mainly include target echo signals and reverberation, to detect, track, and locate underwater targets. Reverberation is the primary background interference for active sonar systems, especially in shallow sea environments. It is coupled with the target echo signal in both the time and frequency domain, which significantly complicates the extraction and analysis of the target echo signal. To combat the effect of reverberation, an attention and cepstrum analysis-guided network (ACANet) is proposed. The baseline system of the ACANet consists of a one-dimensional (1D) convolutional module and a reconstruction module. These are used to perform nonlinear mapping and to reconstruct clean spectrograms, respectively. Then, since most underwater targets contain multiple highlights, a cepstrum analysis module and a multi-head self-attention module are deployed before the baseline system to improve the reverberation suppression performance for multi-highlight targets. The systematic evaluation demonstrates that the proposed algorithm effectively suppresses the reverberation in observed signals and greatly preserves the highlight structure. Compared with NMF methods, the proposed ACANet no longer requires the target echo signal to be low-rank. Thus, it can better suppress the reverberation in multi-highlight observed signals. Furthermore, it demonstrates superior performance over NMF methods in the task of reverberation suppression for single-highlight observed signals. It creates favorable conditions for underwater platforms, such as unmanned underwater vehicles (UUVs), to carry out underwater target detection and tracking tasks.

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“…Its energy is distributed in multiple narrowband spectral bands, while the overall performance is a wideband signal. It can be said that it combines the advantages of both narrowband and wideband signals, and is usually used in the shallow sea environment to suppress the low-speed target reverberation interference, such as the sinusoidal frequency (SFM) signal, generalized sinusoidal frequency-modulated (GSFM) signal, and pulse trains of linear frequency modulation (PTFM) signal [2][3][4][5]. However, there are some disadvantages, such as range ambiguous sidelobes, and the improvement of one performance of the signal will reduce the other performance.…”

Section: Introductionmentioning

confidence: 99%

High-Resolution Wideband Waveform Design for Sonar Based on Multi-Parameter Modulation

Duan,

Liang,

Dai

et al. 2023

Remote Sensing

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The design of transmitting waveforms is an effective way to improve the detection performance of sonar systems. For the problem of high-range sidelobe when designing reverberation-resistant waveforms, this paper proposes a high-resolution wideband composite waveform design with reverberation suppression performance and a waveform parameter improvement method. Firstly, we propose a novel wideband waveform, which utilizes linear frequency modulation (LFM) as the fundamental pulse, referred to as multi-parameter coded modulation LFM pulse (MPCM-LFM). Additionally, we deduce the wideband ambiguity function for waveform design. Then, we deduce the constraint relations of the waveform parameters for different sub-band overlaps, and according to the mathematical expressions of the obtained range ambiguity function, we analyze in detail the effects of the waveform parameters on the range ambiguity function under different constraints. Secondly, on the basis of the analysis, we also propose a hopping carrier frequency constraint rule to optimize the spectral performance, and the range sidelobe is restrained effectively in significant measure by this parameter improvement method. Finally, we analyze the computer simulation results. It is obvious that our proposed waveform parameter improvement method leads to good results. The proposed improved MPCM-LFM signal shows a “near-thumbtack” ambiguity function, whose sidelobe suppression performance is superior to other classical waveforms in the desired region, and it can realize high-precision parameter estimation. In addition, the proposed improved MPCM-LFM signal possesses good performance in detecting stationary and low Doppler targets in the background of reverberation.

show abstract

Comb waveform optimisation with low peak‐to‐average power ratio via alternating projection

Cited by 8 publications

References 19 publications

A Reverberation Suppression Method Based on the Joint Design of a PTFM Waveform and Receiver Filter

A Reverberation Suppression Method Based on the Joint Design of a PTFM Waveform and Receiver Filter

Underwater Reverberation Suppression via Attention and Cepstrum Analysis-Guided Network

High-Resolution Wideband Waveform Design for Sonar Based on Multi-Parameter Modulation

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