Abstract:A high-resolution frequency modulated continuous wave imaging radar for short-range applications is presented. A range resolution of about 1 cm is achieved with a bandwidth of up to 16 GHz around 160 GHz. In order to overcome losses and large tolerances on a printed circuit board (PCB), 8 coherently coupled monolithic microwave integrated circuits (MMIC) are used, each with one transmit and receive antenna on-chip and each representing a single channel radar system. The signals on the PCB are below 12 GHz, whi… Show more
“…This is particularly challenging at higher frequencies and comes with an increased hardware effort. For apertures of medium size (30 λ 0 -70 λ 0 ), the local oscillator (LO) signal can be distributed at a lower frequency band and multiplied on the monolithic microwave integrated circuit (MMIC) [10], [13], [21]. However, for large apertures, high losses of the distributed signal aggravate a coherent LO distribution concept.…”
Section: System Conceptmentioning
confidence: 99%
“…Typically, the DoA of the target is estimated after a previous range-Doppler processing and subsequent target extraction [16]. For typical multiple-input multiple-output (MIMO) radars using conventional aperture sizes or modulation bandwidths, the difference in path length of the incident wave at the receive antennas does not noticeably exceed the range resolution of the radar, see [11]- [13].…”
In order to improve the resolution of imaging radars, electrically large arrays and a high absolute modulation bandwidth are needed. For radar systems with simultaneously high range resolution and very large aperture, the difference in path length at the receiving antennas is a multiple of the range resolution of the radar, in particular for off-boresight angles of the incident wave. Therefore, the radar response of a target measured at the different receiving antennas is distributed over a large number of range cells. This behavior depends on the unknown incident angle of the wave and is, thus, denoted as range-angle coupling. Furthermore, the far-field (FF) condition is no longer fulfilled in short-range applications. Applying conventional signal processing and radar calibration techniques leads to a significant reduction of the resolution capabilities of the array. In this article, the key aspects of radar imaging are discussed when radars with both large aperture size and high absolute bandwidth are employed in short-range applications. Based on an initial mathematical formulation of the physical effects, a correction method and an efficient signal processing chain are proposed, which compensate for errors that occur with conventional beamforming techniques. It is shown by measurements that with an appropriate error correction an improvement of the angular resolution up to a factor of 2.5 is achieved, resulting in an angular resolution below 0.4 • with an overall aperture size of nearly 200 λ 0 .
“…This is particularly challenging at higher frequencies and comes with an increased hardware effort. For apertures of medium size (30 λ 0 -70 λ 0 ), the local oscillator (LO) signal can be distributed at a lower frequency band and multiplied on the monolithic microwave integrated circuit (MMIC) [10], [13], [21]. However, for large apertures, high losses of the distributed signal aggravate a coherent LO distribution concept.…”
Section: System Conceptmentioning
confidence: 99%
“…Typically, the DoA of the target is estimated after a previous range-Doppler processing and subsequent target extraction [16]. For typical multiple-input multiple-output (MIMO) radars using conventional aperture sizes or modulation bandwidths, the difference in path length of the incident wave at the receive antennas does not noticeably exceed the range resolution of the radar, see [11]- [13].…”
In order to improve the resolution of imaging radars, electrically large arrays and a high absolute modulation bandwidth are needed. For radar systems with simultaneously high range resolution and very large aperture, the difference in path length at the receiving antennas is a multiple of the range resolution of the radar, in particular for off-boresight angles of the incident wave. Therefore, the radar response of a target measured at the different receiving antennas is distributed over a large number of range cells. This behavior depends on the unknown incident angle of the wave and is, thus, denoted as range-angle coupling. Furthermore, the far-field (FF) condition is no longer fulfilled in short-range applications. Applying conventional signal processing and radar calibration techniques leads to a significant reduction of the resolution capabilities of the array. In this article, the key aspects of radar imaging are discussed when radars with both large aperture size and high absolute bandwidth are employed in short-range applications. Based on an initial mathematical formulation of the physical effects, a correction method and an efficient signal processing chain are proposed, which compensate for errors that occur with conventional beamforming techniques. It is shown by measurements that with an appropriate error correction an improvement of the angular resolution up to a factor of 2.5 is achieved, resulting in an angular resolution below 0.4 • with an overall aperture size of nearly 200 λ 0 .
“…Typically, imaging radars above 100 GHz are implemented completely coherently, as shown in Fig. 1(a), by distributing a single generated radio frequency (RF) signal between 1 and 100 GHz to all radar MMICs [8]. In comparison, the radar architectures in Fig.…”
Section: A System Conceptmentioning
confidence: 99%
“…The noise level of the IF signal determines the achievable SNR and the resulting system performance. It is determined by a superposition of thermal noise, quantization noise, and phase noise [8], [22]. In this section, a system performance comparison of the quasi-coherent and the incoherent system after the frequency and phase corrections according to Section III is given.…”
Section: Comparison Of the System Performancementioning
confidence: 99%
“…In order to perform coherent beamforming, imaging radars require a time, frequency, and phase synchronization between the individual transmit (TX) and receive (RX) signal paths [8]. Thus, imaging radars are usually realized fully coherently, i.e., the frequency-modulated continuous-wave (FMCW) ramp oscillator (RO) signal is derived from a single PLL and afterward distributed to the individual TX and RX channels [9]- [14].…”
Imaging radars are usually realized fully coherently. However, the distribution of one common radio frequency signal to all transmit and receive paths requires a high degree of hardware complexity. In order to reduce the hardware effort significantly, a novel phase synchronization method for incoherent and quasi-coherent frequency-modulated continuous-wave (FMCW) imaging radars with individual signal synthesis per channel is presented. The quasi-coherent setup uses one common oscillator for all frequency synthesizers. It is shown that in the case of the quasi-coherent system, only a phase difference between the calibration and the measurement has to be corrected to achieve coherence. In comparison, an incoherent system causes additional time, frequency, and FMCW ramp slope errors due to the different behavior of the oscillators. In order to achieve phase coherence and to correct the error sources, a calibration-based method using a defined signal path as part of the radar system is proposed. The imaging radar used for verification of the theory consists of individual single-channel radar monolithic microwave integrated circuits (MMICs) at 160 GHz; each MMIC fed by an individual frequency synthesizer. As shown by measurements, it is possible to achieve phase coherence for both system approaches and to perform angle estimation.
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