Non-Coherent Acoustic Modulation for Energy Constrained Underwater Platforms

Lidstrom, Viktor; Erstorp, Elias Strandell; Nordenvaad, Magnus Lundberg; Sigray, Peter; Kuttenkeuler, Jakob

doi:10.1109/oceanse.2019.8866887

Cited by 7 publications

(4 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A good generator is g(x) = {p(x|S q ) : x ∈ R M ≥0 }, since its mass defines D q , and it can be implemented using (18).…”

Section: A Bit Error Probability 1) Awgn Simulationmentioning

confidence: 99%

“…To find a good value on the construction parameter , the decoding performance was verified by performing several M SPFSK symbol simulations in the static AWGN channel described by (18), and Fig. 5 shows the resulting frame error rate (FER) as a function of the SNR per bit, E b /N 0 , for varying frame length N , alphabet size 2 M , and number of list elements in the decoder, L. The code rate is R c = 0.5 in all cases.…”

Section: A Symbol Simulation In An Awgn Channelmentioning

confidence: 99%

“…Forming an alphabet by taking all permutations of a sequence was first described in [15], and defining the sequence as the transmission of N out of M tones has been termed permutation frequency-shift keying (PFSK) [16], which is here denoted as M N PFSK. PFSK has seen some recent use in the UWA channel [17], [18]; however, to the author's knowledge, no example of defining the alphabet as the superset of all PFSK alphabets has been investigated in the literature. Concatenating the alphabets of M N PFSK, for 0 ≤ N ≤ M , the new alphabet is named a super permutation alphabet, and its use in FSK as super permutation frequency-shift keying (SPFSK).…”

mentioning

confidence: 99%

See 2 more Smart Citations

Super Permutation Frequency-Shift-Keyed Underwater Acoustic Communication

Lidström

2024

IEEE J. Oceanic Eng.

View full text Add to dashboard Cite

A method that defines the superset of M ary permutation frequency-shift keying (SPFSK) alphabets as the symbol space is investigated as a possible robust data link for the underwater acoustic (UWA) channel. The alphabet is equivalent to ON-OFF keying for M = 1. Polar coding and time/frequency guards are used for redundancy. The bit error probability of an SPFSK symbol is evaluated to construct the Polar code; it is found to be uniform across bit positions in the label by using natural labeling due to a symmetric fractal behavior in the pairwise symbol error probability, and the heuristic code construction method is directly applicable. A Ricean noncoherent data model is used, and a reduced complexity algorithm for calculating binary loglikelihoods is provided. The method is simulated in an additive white Gaussian noise channel to find a good Polar code construction and evaluate different alphabet parameterizations; the results show that the receiver statistics improve with the alphabet size. SPFSK is further evaluated in the public Watermark benchmark, using both genie-and pilot-assisted parameter tracking, as well as perfect and nonperfect synchronization. Results from the Watermark replay channels NOF1, NCS1, and BCH1 show that 1% frame error rate is attained at 16 ≤ E b /N 0 ≤ 23 dB depending on the channel, using ∼ 0.2 bit/s/Hz spectral efficiency, indicating its potential as a robust data link. Performance in the UWA channel increases substantially by using many tones, and the statistical model must be sufficiently accurate to leverage the processing gain of an SPFSK alphabet with higher dimensionality.

show abstract

“…A good generator is g(x) = {p(x|S q ) : x ∈ R M ≥0 }, since its mass defines D q , and it can be implemented using (18).…”

Section: A Bit Error Probability 1) Awgn Simulationmentioning

confidence: 99%

Section: A Symbol Simulation In An Awgn Channelmentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

Super Permutation Frequency-Shift-Keyed Underwater Acoustic Communication

Lidström

2024

IEEE J. Oceanic Eng.

View full text Add to dashboard Cite

show abstract

“…For incoherent communication, the utilization ratio of the frequency band is low. In the limited bandwidth UWA channel, incoherent technology is difficult to achieve the function of high-speed communication [13,14]. Different from incoherent reception, coherent communication can greatly improve the data transmission rate of UWA communication and effectively reduce the influence of inter symbol interference (ISI).…”

mentioning

confidence: 99%

R&D of a low-complexity OFDM acoustic communication payload for Micro-AUV in confined space

Jiang

Tao

Yao

et al. 2022

EURASIP J. Adv. Signal Process.

View full text Add to dashboard Cite

With small size, high flexibility, low cost, and deployment convenience, Micro-sized autonomous underwater vehicle (Micro-AUV) is capable of performing diverse underwater missions efficiently in confined underwater space, for the extensive purpose of rescue, sightseeing, pipeline engineering and so on. The underwater acoustic (UWA) communication technique provides an effective way to support this types of underwater mission for telemetry and remote control of Micro-AUV. However, while the adverse multipath caused by confined space poses significant challenge to the classic coherent acoustic communication schemes that need channel estimation and equalization processing, the employment of non-coherent communication scheme is generally limited by low data rate. By utilizing time-domain and frequency-domain differential modulation to suppress the influence of multipath, a low-complexity UWA communication payload is designed to provide an effective solution to make a tradeoff between data rate and implementation complexity. Based on a STM32 series processor, this paper introduced the software and hardware implementation of a time-frequency differential OFDM UWA communication payload for Micro-AUV and presented the performance evaluation of the system in confined underwater space. The experimental results achieved in a confined lake show that the proposed system has the potential of being used for Micro-AUV to achieve a data rate of 1.96 kbps at a distance of 200m with acceptable implementation overhead.

show abstract