Enhanced monopulse MIMO radar using reliable &amp;#x03B1;&amp;#x03B2; filtering

2019 IEEE Radar Conference (RadarConf)

Aubry

Yarovoy

2019

Automotive radars suffer from low angular estimation accuracy due to the limited number of antennas and insufficient onboard processing power. This paper addresses the single target tracking problem in automotive radar by using recently proposed MIMO-monopulse approach which blends the monopulse approach with the collocated MIMO radar. We demonstrate and compare the localization performance of the MIMO-monopulse at an automotive radar on a real-world scenario. Experiments show that MIMO-monopulse results in a better angular accuracy comparing to the conventional digital beamforming even though the low-level processing power.

“…x m e jkΔφ (11) where k = 0, 1, ..., (M − 1). When the length of the virtual array is a power of two, radix-2 FFT algorithms can be used to speed up processing time.…”

Section: Spectral Estimation Methods Vs Mimo-monopulsementioning

confidence: 99%

“…For an amplitude comparison monopulse (AMC), the left and right beams are generated by two beamforming vectors centered at initial direction θ 0 but separated by a squint angle shift θ s to left and right [11]. The weights of left and right beamformers can be written respectively as…”

Section: B Angle Estimation Using Mimo-monopulsementioning

confidence: 99%

Accurate Target Localization for Automotive Radar

2019 IEEE Radar Conference (RadarConf)

Aubry

Yarovoy

2019

“…For amplitude comparison monopulse, the left and right beams are generated by two beamforming vectors centred at a look direction

θ_{0}

but separated by a squint angle shift

θ_{s}

to left and right [16]. The difference of voltage of the left and right beams will be zero if the target is precisely located at

θ_{0}

.…”

Section: Doa Estimation Using Mimo–monopulsementioning

confidence: 99%

MIMO–monopulse target localisation for automotive radar

Feng

IET Radar, Sonar & Navigation

Aubry

2018

In this study, the authors propose a novel direction of arrival (DoA) estimation algorithm called 'multiple-inputmultiple-output (MIMO)-monopulse' by combining the monopulse approach with MIMO radar. Monopulse is fast and accurate angle estimation algorithm, which has been well developed for tracking radar. The application of the monopulse technique on MIMO radar is not much considered before, especially for automotive-radar application, and will be discussed in this study. Conventional methods of monopulse DoA estimation include amplitude and phase comparison monopulse. In this study, to improve the performance of monopulse, they utilise Chebyshev and Zolotarev weighting to synthesise sum and difference patterns. A new visualisation method for monopulse ratio is discussed. Finally, they demonstrate the success of the proposed algorithm by processing real data from a 79 GHz frequency-modulated continuous-wave automotive radar.

“…For amplitude comparison monopulse, the most straightforward strategy is to consider the sum and difference channels to be the sum and difference of two beamforming vectors centered about boresight θ 0 but separated by a squint angle shift θ s to left and right [42]. There is a trade off of choosing the value of squint angle, because a small squint angle leads to a sharp monopulse ratio, but the linear region will be too narrow for tracking a moving target.…”

Section: Amplitude Comparisonmentioning

confidence: 99%

Target Localization Using MIMO-Monopulse: Application on 79 GHz FMCW Automotive Radar

Feng

2018 15th European Radar Conference (EuRAD)

Yarovoy

2018

Automotive radar is widely used for driving safety support and it is a key element of future autonomous vehicles. Radar sensors have the property that the performance is not to be affected by low vision conditions compared with camera sensors or laser based radar sensors, which makes it crucial for the autonomous driving system.Automotive radar system utilizes millimeter-wave band to detect the range, velocity and direction of arrival (DOA). Commercial 24 GHz and 77GHz radar have been well developed in vehicle applications at present, and the future trend is 79 GHz solution with wider 4 GHz bandwidth, which has been defined by the European Commission in 2004 as the frequency allocation for automotive shortrange radar systems.The main modulation method of automotive radar is Frequency-Modulated Continous-Wave(FMCW), which holds advantages including high-resolution distance measurement, quick updating and lower sampling frequency required on hardware.