Phase-Coded FMCW Automotive Radar: Application and Challenges

Uysal, Faruk; Orru, Simone

doi:10.1109/radar42522.2020.9114798

Cited by 10 publications

(9 citation statements)

References 8 publications

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“…In the host system, one can perfectly decode the received signal (since the transmit code is known) and achieve range-Doppler information of the targets in the vicinity of the radar which is out of the scope of this paper (interested readers can check [4], [6]).…”

Section: A the Experimental Setup Results And Waveform Evaluationmentioning

confidence: 99%

“…The two radar modules are capable to perform a 180 degrees phase shift in their waveform during chirp transmission. This functionality has been exploited to create a binary symmetric channel between them on top of the LFM waveform used for sensing (see details at [6]). One of the main challenges in this implementation for communication has been to synchronize the two radar devices.…”

Section: Experimental Demonstration Of Communication Between Pc-mentioning

confidence: 99%

“…signal plus noise. (6) where the noise samples are assumed to be i.i.d. zero mean complex Gaussian noise, i.e.…”

Section: Fmcw Radcom Signal Detectionmentioning

confidence: 99%

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System Level Synchronization of Phase-Coded FMCW Automotive Radars for RadCom

Lampel

Uysal

Tigrek

et al. 2020

2020 14th European Conference on Antennas and Propagation (EuCAP)

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Section: A the Experimental Setup Results And Waveform Evaluationmentioning

confidence: 99%

Section: Experimental Demonstration Of Communication Between Pc-mentioning

confidence: 99%

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System Level Synchronization of Phase-Coded FMCW Automotive Radars for RadCom

Lampel

Uysal

Tigrek

et al. 2020

2020 14th European Conference on Antennas and Propagation (EuCAP)

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“…For simplicity we represent the coding signal mathematically by using a phase term, as follows:

c_{t} (t) = {truefalse}_{\sum}^{n = 1} e^{j ϕ_{n}} rect (\frac{t - (n - 1 / 2) T_{a}}{T_{a}}),

where L a is the number of chips within one sweep, T a is the single‐chip duration, calculated as T a = T / L a and ϕ n denotes the phase corresponding to the n th bit of the L a bit sequence. Then, to realise a binary phase shift keying (BPSK), which is the current technology in automotive radars [27], the phase term spans ϕ n ∈ {0, π }.…”

Section: Background and Signal Modelmentioning

confidence: 99%

“…the phase corresponding to the nth bit of the L a bit sequence. Then, to realise a binary phase shift keying (BPSK), which is the current technology in automotive radars [27], the phase term spans ϕ n ∈ {0, π}.…”

Section: Background and Signal Modelmentioning

confidence: 99%

Automotive radar interference study for different radar waveform types

Kumbul

Uysal

Vaucher

et al. 2021

IET Radar Sonar & Navi

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Mutual interference between different radar waveforms used in automotive radar applications is studied. The existing interference analysis is extended to a generalised radar‐to‐radar interference equation that covers most of the common interference scenarios for automotive radar systems. The outcome of the generalised equation is demonstrated for a number of typical scenarios where radars with different continuously transmitting waveforms are involved. The proposed equation can be used to characterise the received interference and its features by analysing the instantaneous beat frequency of the victim radar. Moreover, an interference analysis of phase‐coded frequency‐modulated continuous waveforms is performed and demonstrated experimentally by using real‐time automotive radars for the first time in the literature. The experimental results corroborate the interference analysis of different waveforms and validate the proposed generalised interference equation under various conditions.

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FHSA: fractional harmony search algorithm for polyphase code design in radar signal processing

Rao¹,

V.²

2022

IJPCC

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Purpose The purpose of this research is to design and develop a technique for polyphase code design for the radar system. Design/methodology/approach The proposed fractional harmony search algorithm (FHSA) performs the polyphase code design. The FHSA binds the properties of the harmony search algorithm and the fractional theory. An optimal fitness function based on the coherence and the autocorrelation is derived through the proposed FHSA. The performance metrics such as power, autocorrelation and cross-correlation measure the efficiency of the algorithm. Findings The performance metrics such as power, autocorrelation and cross-correlation is used to measure the efficiency of the algorithm. The simulation results show that the proposed optimal phase code design with FHSA outperforms the existing models with 1.420859, 4.09E−07, 3.69E−18 and 0.000581 W for the fitness, autocorrelation, cross-correlation and power, respectively. Originality/value The proposed FHSA for the design and development of the polyphase code design is developed for the RADAR is done to reduce the effect of the Doppler shift.

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Phase-Coded FMCW Automotive Radar: Application and Challenges

Cited by 10 publications

References 8 publications

System Level Synchronization of Phase-Coded FMCW Automotive Radars for RadCom

System Level Synchronization of Phase-Coded FMCW Automotive Radars for RadCom

Automotive radar interference study for different radar waveform types

FHSA: fractional harmony search algorithm for polyphase code design in radar signal processing

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