Abstract:Continuous waveform (CW) radar is widely used in intelligent transportation systems, vehicle assisted driving, and other fields because of its simple structure, low cost and high integration. There are several waveforms which have been developed in the last years. The chirp sequence waveform has the ability to extract the range and velocity parameters of multiple targets. However, conventional chirp sequence waveforms suffer from the Doppler ambiguity problem. This paper proposes a new waveform that follows th… Show more
“…For correct use of the method of two-dimensional Fourier transform [ 19 , 20 , 21 ] and an unambiguous estimate of the velocity vector of a radar target, it is necessary that the phase change Φ V ( kT c ), calculated on the local time interval [0 ≤ t L ≤ T c ], does not exceed the value π. This requirement determines that the point θ belongs to the three-dimensional subspace Θ ( 3) 2 of the measured parameters { V R , V TR , R 2 } in the relation Equation (34).…”
Section: Estimation Of the Range And Velocity Vector Of A Radar Tamentioning
confidence: 99%
“…The second method of simultaneous estimation of target speed and range is based on the use of two-dimensional (2D) Fourier transform [ 20 , 21 , 22 ]. It is easy to show that the dynamic range of measured velocities and distances using this method is proportional to the sampling rate f s of the analog IF signal: where R max and δR —maximum range and range resolution respectively, c —speed of light, V R max —maximum radial component of target velocity, f D max —Doppler frequency shift, that corresponds to maximum velocity V R max , and f 0 —the initial frequency of the radiated chirp radio signal.…”
A rigorous mathematical description of the signal reflected from a moving object for radar monitoring tasks using linear frequency modulated continuous wave (LFMCW) microwave radars is proposed. The mathematical model is based on the quasi-relativistic vector transformation of coordinates and Lorentz time. The spatio-temporal structure of the echo signal was obtained taking into account the transverse component of the radar target speed, which made it possible to expand the boundaries of the range of measuring the range and speed of vehicles using LFMCW radars. An algorithm for the simultaneous estimation of the range, radial and transverse components of the velocity vector of an object from the observation data of the time series during one frame of the probing signal is proposed. For an automobile 77 GHz microwave LFMCW radar, a computer experiment was carried out to measure the range and velocity vector of a radar target using the developed mathematical model of the echo signal and an algorithm for estimating the motion parameters. The boundaries of the range for measuring the range and speed of the target are determined. The results of the performed computer experiment are in good agreement with the results of theoretical analysis.
“…For correct use of the method of two-dimensional Fourier transform [ 19 , 20 , 21 ] and an unambiguous estimate of the velocity vector of a radar target, it is necessary that the phase change Φ V ( kT c ), calculated on the local time interval [0 ≤ t L ≤ T c ], does not exceed the value π. This requirement determines that the point θ belongs to the three-dimensional subspace Θ ( 3) 2 of the measured parameters { V R , V TR , R 2 } in the relation Equation (34).…”
Section: Estimation Of the Range And Velocity Vector Of A Radar Tamentioning
confidence: 99%
“…The second method of simultaneous estimation of target speed and range is based on the use of two-dimensional (2D) Fourier transform [ 20 , 21 , 22 ]. It is easy to show that the dynamic range of measured velocities and distances using this method is proportional to the sampling rate f s of the analog IF signal: where R max and δR —maximum range and range resolution respectively, c —speed of light, V R max —maximum radial component of target velocity, f D max —Doppler frequency shift, that corresponds to maximum velocity V R max , and f 0 —the initial frequency of the radiated chirp radio signal.…”
A rigorous mathematical description of the signal reflected from a moving object for radar monitoring tasks using linear frequency modulated continuous wave (LFMCW) microwave radars is proposed. The mathematical model is based on the quasi-relativistic vector transformation of coordinates and Lorentz time. The spatio-temporal structure of the echo signal was obtained taking into account the transverse component of the radar target speed, which made it possible to expand the boundaries of the range of measuring the range and speed of vehicles using LFMCW radars. An algorithm for the simultaneous estimation of the range, radial and transverse components of the velocity vector of an object from the observation data of the time series during one frame of the probing signal is proposed. For an automobile 77 GHz microwave LFMCW radar, a computer experiment was carried out to measure the range and velocity vector of a radar target using the developed mathematical model of the echo signal and an algorithm for estimating the motion parameters. The boundaries of the range for measuring the range and speed of the target are determined. The results of the performed computer experiment are in good agreement with the results of theoretical analysis.
“…There are several waveforms and the chirp sequence waveform has the ability to extract the range and velocity parameters of multiple targets. Reference [6] proposes a new waveform that follows the practical application requirements, high precision requirements, and low system complexity requirements. Theoretical analysis and simulation results verify that the new radar waveform is capable of measuring the range and radial velocity simultaneously and unambiguously, with high accuracy and resolution even in multi-target situations.…”
New assistance systems and the applications of autonomous driving of road vehicles imply ever-greater requirements for perception systems that are necessary in order to increase the robustness of decisions and to avoid false positives or false negatives [...]
“…For solving such problems, sensor systems based on radar technology are currently widely used [15,16]. In this regard, the urgent task is to detect and filter false targets when using millimeter-wave radars [17][18][19][20]. Millimeter-wave radar systems for automotive application include pulse radar, frequency-modulated continuous-wave (FMCW) radar and spread spectrum radar.…”
The influence of millimeter-wave radar receiver noise on the probability of unambiguous determination of unmanned vehicles speed and range in the intelligent transportation system of the «smart city» is investigated. For the proposed new multi-target detection method for FMCW radar, the effect of the technical parameters of the vehicle radars on the required signal-to-noise ratio (SNR) of the receiver is estimated to ensure the probability of true determination of target parameters at 98%.
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