An efficient transceiver design for superimposed waveforms with orthogonal polynomials

Catak, Evren; Durak–Ata, Lütfiye

doi:10.1109/blackseacom.2017.8277657

Cited by 11 publications

(8 citation statements)

References 11 publications

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“…It should be noted that OFDM-DM has worst BER performance at high SNR region. Besides, OFDM-PSM has almost similar BER performance to that of the classical OFDM [16]. It should be noted that SM-OFDM has better BER performance than the popular V-BLAST and Alamouti-coded OFDM systems at low spectral efficiency.…”

Section: B Bit Error Rate (Ber)mentioning

confidence: 79%

“…Multiple orthogonal Hermite-Gaussian carriers were used with rectangular OFDMA in order to increase the bandwidth efficiency [14]. Pulse superposition approach was also applied to generalized orthogonal frequency division multiplexing (GFDM) [15], and the obtained bandwidth efficiency of superimposed GFDM waveform is almost 2.4 much higher than GFDM with Gaussian pulses [16].…”

Section: Fifth Generation Network Should Address An Increasinglymentioning

confidence: 99%

“…The computational complexity of OFDM-SNM scheme increases with N , K , and M . For OFDM-PSM, there are KM multiplications with K polyphase components of the filter with length L for each D order of Hermite-Gaussian function [16]. The complexity of SM-OFDM increases with the rise of the number of transmit antennas (N t ), receive antennas (N r ), and modulation order (M ) [55].…”

Section: E Complexity Analysismentioning

confidence: 99%

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Modulation Options for OFDM-Based Waveforms: Classification, Comparison, and Future Directions

Jaradat¹,

Hamamreh²,

Arslan³

2019

IEEE Access

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This paper provides a comparative study on the performance of different modulation options for orthogonal frequency division multiplexing (OFDM) in terms of their spectral efficiency, reliability, peak-to-average power ratio, power efficiency, out-of-band emission, and computational complexity. The modulation candidates are classified into two main categories based on the signal plane dimension they exploit. These categories are: 1) 2-D signal plane category including conventional OFDM with classical fixed or adaptive QAM modulation and OFDM with differential modulation, where information is conveyed in changes between two successive symbols in the same subcarrier or between two consecutive subcarriers in the same OFDM symbol and 2) 3-D signal plane category encompassing: a) index-based OFDM modulation schemes which include: i) spatial modulation OFDM, where information is sent by the indices of antennas along with conventional modulated symbols and ii) OFDM with index modulation, where the subcarriers' indices are used to send additional information; b) number-based OFDM modulation schemes which include OFDM with subcarrier number modulation, in which number of subcarriers is exploited to convey additional information; and c) shape-based OFDM modulation schemes which include OFDM with pulse superposition modulation, where the shape of pulses is introduced as a third new dimension to convey additional information. Based on the provided comparative study, the relationship and interaction between these different modulation options and the requirements of future 5G networks are discussed and explained. This paper is then concluded with some recommendations and future research directions.

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Section: B Bit Error Rate (Ber)mentioning

confidence: 79%

Section: Fifth Generation Network Should Address An Increasinglymentioning

confidence: 99%

Section: E Complexity Analysismentioning

confidence: 99%

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Modulation Options for OFDM-Based Waveforms: Classification, Comparison, and Future Directions

Jaradat¹,

Hamamreh²,

Arslan³

2019

IEEE Access

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“…On the other hand, in sub-carrier number modulation OFDM (OFDM-SNM), a number of sub-carriers are exploited to convey additional information [21], whereas in shape-based OFDM, the shape of pulses is exploited to convey additional information. Examples of the shaped-based OFDM modulation schemes are reported in [25], [26].…”

Section: Introductionmentioning

confidence: 99%

Generalized Permutation Coded OFDM-MFSK in Hybrid Powerline and Visible Light Communication

2022

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Channel impairments from the powerline communication (PLC) and visible light communication (VLC) technologies, are one of the causes of performance degradation in a hybrid PLC and VLC (HPV) system. In this paper, we focus on one of the inherent noise types in PLC channels, impulse noise (IN), which is characterised by short bursts of rapidly modified amplitudes caused by random switching of electrical devices onto the power network. Recently, a permutation coded orthogonal frequency division multiplexing (OFDM) with M -ary frequency shift keying (M FSK) scheme, in short, PC OFDM-M FSK, was proposed for IN mitigation in PLC systems. It is conceived that the robustness of this scheme against IN in standalone PLC systems will enhance the error performance of the HPV system. Furthermore, since one of the disadvantages of the PC OFDM-M FSK scheme compared to that using only the classical OFDM scheme, is degraded data rate, we propose a generalised PC OFDM-M FSK scheme to improve the degraded data rate. It is shown in this paper that the use of OFDM-M FSK improves the performance of an HPV system compared to that using only the classical OFDM modulation scheme, by a signal-to-noise (SNR) ratio gain of 6 dB at a bit error rate (BER) of 10 −4 . Furthermore, the use of the soft-decision Hungarian-Murty (HM) decoder enhances the error performance, showing an SNR gain of about 3 dB and reduces the decoding complexity of the PC OFDM-M FSK HPV system. Moreover, the generalisation of the PC OFDM-M FSK HPV system, does not increase the decoding complexity when the SD HM decoder is used.INDEX TERMS Frequency shift keying (FSK), generalised permutation coding, orthogonal frequency division multiplexing (OFDM), powerline communication (PLC), visible light communication (VLC).

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“…Additionally, compared with [23], the DC canceller is placed before the beamforming operation to completely cancel the DC and avoid the spectrum sidelobes of the DC caused by the varying beamforming coefficients in time. The proposed architecture can be applied to different radar waveforms, e.g., radar pulses, and even in the joint radar and communications scenario [31], with small modifications.…”

Section: Introductionmentioning

confidence: 99%

Analyze the FMCW Waveform Skin Return of Moving Objects in the Presence of Stationary Hidden Objects Using Numerical Models

Tang

Elangage

2020

Electronics

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In this paper, a high-performance antenna array system model is presented to analyze moving-object-skin-returns and track them in the presence of stationary objects using frequency modulated continuous wave (FMCW). The main features of the paper are bonding the aspects of antenna array and electromagnetic (EM) wave multi-skin-return modeling and simulation (M&S) with the aspects of algorithm and measurement/tracking system architecture. The M&S aspect models both phase and amplitude of the signal waveform from a transmitter to the signal processing in a receiver. In the algorithm aspect, a novel scheme for FMCW signal processing is introduced by combining time- and frequency-domain methods, including a vector moving target indication filter and a vector direct current canceller in time-domain, and a constant false alarm rate detector and a mono-pulse digital beamforming angle tracker in frequency-domain. In addition, unlike previous designs of using M × N fast Fourier transform (FFT) for an M × N array, only four FFTs are used, which tremendously save time and space in hardware. With the presented model, the detection of the moving-target-skin-return in stationary objects under a noisy environment is feasible. Therefore, to track long range and high-speed objects, the proposed technique is promising. Using a scenario having (1) a target with 17 dBm2 radar cross section (RCS) at about 40 km range with 5.936 Mach speed and 11.6 dB post processing signal to noise ratio, and (2) a strong stationary clutter with 37 dBm2 RCS located at the proximity of the target, it demonstrates that the root-mean-square errors of range, angle, and Doppler measurements are about 26 m, 0.68 degree, and 1100 Hz, respectively.

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An efficient transceiver design for superimposed waveforms with orthogonal polynomials

Cited by 11 publications

References 11 publications

Modulation Options for OFDM-Based Waveforms: Classification, Comparison, and Future Directions

Modulation Options for OFDM-Based Waveforms: Classification, Comparison, and Future Directions

Generalized Permutation Coded OFDM-MFSK in Hybrid Powerline and Visible Light Communication

Analyze the FMCW Waveform Skin Return of Moving Objects in the Presence of Stationary Hidden Objects Using Numerical Models

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