One-Bit Compressive Radar Sensing in the Presence of Clutter

Zahabi, Sayed Jalal; Naghsh, Mohammad Mahdi; Modarres-Hashemi, Mahmoud; Li, Jian

doi:10.1109/taes.2019.2916532

Cited by 22 publications

(19 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…• Unmatched harmonics may increase the detection background levels. The frequency modulation slopes of the four 3-order harmonics in (18)- (21) are all of −3µ. Obviously, the four terms are unmatched with the reference signal in (17) and their SNRs will not be improved when PC is implemented in the fast time domain.…”

Section: Harmonic Analysis Of One-bit Signalmentioning

confidence: 99%

“…(18)- (21) show that unmatched 3-order harmonics enlarge the bandwidth of the received signal. For linear signal processing, oversampling can reduce the spectrum aliasing [26], [27].…”

Section: ) Suppression Of Unmatched Harmonicsmentioning

confidence: 99%

“…It is indicated that at our parameter settings, four 3-order harmonics results in harmful effects. 7 Firstly, two unmatched 3-order harmonics, i.e., the term h 1,2 (t) in (20) and the term h 2,1 (t) in (21), raise the background level. If a true target locates on cells that are influenced by the unmatched 3-order harmonics, detection probability will be reduced.…”

Section: A Effects Of Harmonics On the Linear Signal Processingmentioning

confidence: 99%

“…Subsequently, this method is extended to the slow time domain [20]. In [21], target reconstruction is considered for one-bit pulse-Doppler radar in the presence of clutter. The reconstruction problem is approached by a sparse recovery method which leads to an optimization problem.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

One-Bit LFM Pulse Radar: Harmonic Analysis and Target Reconstruction

et al. 2019

View full text Add to dashboard Cite

One-bit radar, adopting one-bit analog-to-digital converters to perform signal sampling and quantization, is a promising technology for low-cost and resource-limited applications. In this paper, effects of one-bit quantization on the linear signal processing for the one-bit linear frequency modulated pulse radar are studied and a target reconstruction approach is proposed. Firstly, characteristics of 3-order harmonics of the one-bit signal are analyzed. It is indicated that when conventional linear signal processing methods are carried out, 3-order harmonics may not only raise the detection background but also result in false alarms. Secondly, a two-stage approach jointly performing the linear and nonlinear signal processing is proposed to suppress harmonics and recover true targets. Specifically, in the first stage, the linear signal processing is carried out to suppress unmatched harmonics and dimension reduction. In the second stage, based on a dimension-reduced signal observation model, generalized approximate message passing is utilized to suppress matched harmonics and recover true targets. The effectiveness of the proposed approach is demonstrated by numerical results.

show abstract

Section: Harmonic Analysis Of One-bit Signalmentioning

confidence: 99%

“…(18)- (21) show that unmatched 3-order harmonics enlarge the bandwidth of the received signal. For linear signal processing, oversampling can reduce the spectrum aliasing [26], [27].…”

Section: ) Suppression Of Unmatched Harmonicsmentioning

confidence: 99%

Section: A Effects Of Harmonics On the Linear Signal Processingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

One-Bit LFM Pulse Radar: Harmonic Analysis and Target Reconstruction

et al. 2019

View full text Add to dashboard Cite

show abstract

“…There is limited work on low-resolution ADCs for a full-duplex radar that transmits and receives simultaneously. In [17], timevarying thresholds and 1 -norm minimization was proposed for a single-input-single-output radar with 1-bit ADC. To realize a fully-digital wideband mmWave SIMO JCR, [6], [18] proposed the use of high-speed, low-resolution ADCs receivers.…”

Section: Introductionmentioning

confidence: 99%

JCR70: A Low-Complexity Millimeter-Wave Proof-of-Concept Platform for a Fully-Digital SIMO Joint Communication-Radar

Kumari

Mezghani

Heath

2021

IEEE Open J. Veh. Technol.

View full text Add to dashboard Cite

A fully-digital wideband joint communication-radar (JCR) with a single-input-multiple-output (SIMO) architecture at the millimeter-wave (mmWave) band will enable high joint communication and radar performance with enhanced design flexibility. A quantized receiver with few-bit analog-to-digital converters (ADCs) will enable a practical JCR solution with reduced power consumption for futuristic portable devices and autonomous vehicles. In this paper, we present a joint communicationradar proof-of-concept platform, named JCR70, to evaluate and demonstrate the performance of these JCR systems using real channel measurements in the 71-76 GHz band. We develop this platform by extending a mmWave communication set-up with an additional full-duplex radar receiver and by capturing the SIMO JCR channel using a moving antenna on a sliding rail. To characterize the JCR performance of our developed testbed, we conduct several indoor and outdoor experiments and apply traditional as well as advanced processing algorithms on the measured data. The experimental results show that the quantized receiver with 2-4 bit ADCs generally performs quite close to the high-resolution ADC for a signal-to-noise ratio of up to 5 dB. Additionally, we compare the performance of our JCR70 platform with the INRAS Radarbook, which is a state-of-the-art automotive radar evaluation platform at 77 GHz.

show abstract

Sparse Parameter Estimation for PMCW MIMO Radar Using Few-Bit ADCs

Wong

2021

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Self Cite

View full text Add to dashboard Cite

In this work, we consider target parameter estimation of phase-modulated continuous-wave (PMCW) multiple-input multiple-output (MIMO) radars with few-bit analog-to-digital converters (ADCs). We formulate the estimation problem as a sparse signal recovery problem and modify the fast iterative shrinkage-thresholding algorithm (FISTA) to solve it. The 2,1 -norm is adopted to promote the sparsity in the range-Doppler-angle domain. Simulation results show that using few-bit ADCs can achieve comparable performance to many-bit ADCs when targets are widely separated. However, if targets are spaced closely, performance losses can occur when 1-bit ADCs are applied.

show abstract

One-Bit Compressive Radar Sensing in the Presence of Clutter

Cited by 22 publications

References 29 publications

One-Bit LFM Pulse Radar: Harmonic Analysis and Target Reconstruction

One-Bit LFM Pulse Radar: Harmonic Analysis and Target Reconstruction

JCR70: A Low-Complexity Millimeter-Wave Proof-of-Concept Platform for a Fully-Digital SIMO Joint Communication-Radar

Sparse Parameter Estimation for PMCW MIMO Radar Using Few-Bit ADCs

Contact Info

Product

Resources

About