Simulation Environment of a Communication System Using CDMA at 77 GHz

Lübke, Maximilian; Fuchs, Jonas; Shatov, Victor; Dubey, Anand Kumar; Weigel, Robert; Lurz, Fabian

doi:10.1109/iwcmc48107.2020.9148403

Cited by 6 publications

(12 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In consequence, TABLE 2. Comparison between the parameters used in [8] and the extended model. this approach is very suitable for applications where secrecy needs to be maintained and distortion/interference needs to be strictly limited for the exchange of safety critical information.…”

Section: Simulink Modelmentioning

confidence: 99%

“…The proposed Simulink model is an extension of the model proposed in [8] and several design challenges were addressed: Next to the consideration of more realistic parameters (shown in Tab. 2), the model was extended by, inter alia, integrating MRC combining, channel estimation, phase and frequency compensation and a reasonable RF-representation.…”

Section: Simulink Modelmentioning

confidence: 99%

“…transmitting the data and pilots in serial or parallel). The interleaved approach (same as for the previously published model [8]) was analysed, containing a preamble. The corresponding system is shown in Fig.…”

Section: Simulink Modelmentioning

confidence: 99%

“…The data is approximately generated randomly by a Bernoulli Binary generator, representing data provided by the higher layers, whereby the probability of a bit being either zero or one is set equally. The data rate and the sampling rate are extended, in comparison to the previously published model ( [8]), to R T = 5 Mbit/s and T data = 0.2 µs, respectively. Thus, this data rate satisfies the IEEE 802.11p standard (see Tab.…”

Section: A Basebandmentioning

confidence: 99%

“…Due to the high demands of the communication link, the transmitted signals are BPSK modulated. Other modulation schemes can be included without significant additional effort and were already considered by the authors in [8]. However, before the data signal is transmitted, the signal conditioning has to be guaranteed.…”

Section: A Basebandmentioning

confidence: 99%

See 4 more Smart Citations

Full Physical Layer Simulation Tool to Design Future 77 GHz JCRS-Applications

Lübke¹,

Su²,

Cherian

et al. 2022

IEEE Access

Self Cite

View full text Add to dashboard Cite

Vehicular communication systems get more and more attention with the upcoming fifth and sixth generation. Hereby, the focus lies on the development of the co-design or co-existence of communications and sensing. So called joints communications and radar sensing systems are seen as one key technology of 6G. As joint systems will have shared waveforms and hardware platforms, there is a huge benefit in cost and space which is one essential argument for the automotive industry. However, to design such a system for new applications like platooning or intersection assistance a physical layer has to be set up to represent the real physical layer properly. The proposed system design closes the lack of such a simulation tool and allows for full physical layer simulations, including e. g. the hardware non-idealities and the channel model for 77 GHz. The whole signal processing chain of the physical layer is built up and will be integrated in the higher layer state-of-the-art simulation frameworks like Veins or Artery in the next step. The communications design is developed in Simulink, whereas the sensing part is discussed. The proposed communications architecture covers several transmission approaches (serial, parallel), a CDMA based spreading, a radio frequency representation, the channel (simulated in a 3D-Ray-Tracing-tool) and the receiver structure (e. g. the synchronisation or the channel estimation). Several design criteria are discussed, like the serial or parallel design architecture, the maximum ratio combining or the phase and frequency compensation method. The whole system architecture is freely available (https://doi.org/10.5281/zenodo.6482565) and in consequence, the different signal blocks and parameters can be enabled or disabled for evaluations according to future design criteria requirements.INDEX TERMS Hardware non-idealities, connected vehicles, joint communications and radar sensing, millimeter wave technology, physical layer, Simulink.

show abstract

Section: Simulink Modelmentioning

confidence: 99%

Section: Simulink Modelmentioning

confidence: 99%

Section: Simulink Modelmentioning

confidence: 99%

Section: A Basebandmentioning

confidence: 99%

Section: A Basebandmentioning

confidence: 99%

See 3 more Smart Citations

Full Physical Layer Simulation Tool to Design Future 77 GHz JCRS-Applications

Lübke¹,

Su²,

Cherian

et al. 2022

IEEE Access

Self Cite

View full text Add to dashboard Cite

show abstract

Evaluating RF Hardware Characteristics for Automotive JCRS Systems Based on PMCW-CDMA at 77GHz

Lübke¹,

Su²,

Franchi³

2023

IEEE Access

View full text Add to dashboard Cite

Joint communications and radar sensing (JCRS) applications are currently being hailed as the innovation of the next generation of mobile communications. The combination of communications and sensor technology on one hardware platform offers various advantages, such as significant savings in space and costs. The two technologies are no longer being optimized and developed side by side, as has been the case in the past, but jointly. The physical channel is used by both simultaneously, including the transmitter and receiver structures, which must be optimized for the combined application. This inevitably leads to an influence on the performance of both systems. In this work, this influence is considered and analyzed with respect to the effects of the radio frequency components. For this purpose, our previously published code-division multiple access (CDMA)-based and vehicle-to-vehicle-focused model is extended to a JCRS model and evaluated according to the achieved bit error rate as well as the mean deviation of the detected distance and velocity in Simulink. The influence of the non-ideal hardware components (mixers, power amplifier, low noise amplifier, filter, antenna) and characteristics (S-parameters, non-linearity of the amplifiers and the noise) on the sensing and communications are analyzed and compared in this automotive context. The results reveal that the noise of the low noise amplifier at the receiver side has the most decisive influence. In contrast, the noise generated by the power amplifier at the transmitter has no effect due to the relatively high signal power. The non-linearity of amplifiers at the transmitter also significantly impacts the available sensing range by limiting and compressing signal power. Besides, the phase noise with a frequency offset higher than 10 MHz can increase the communications and sensing error rate. In contrast, the influence of S-parameters is negligible, as the performance of communications and sensing is almost unchanged with different S-parameters. In the future, the proposed single-target scene will be further extended to a multi-target one.INDEX TERMS CDMA, connected vehicles, joint communications and radar sensing, RF hardware characteristics, modeling, physical layer, PMCW, 77 GHz.

show abstract