Waveform-diverse stretch processing

Hemmingsen, Dana; McCormick, Patrick M.; Blunt, Shannon D.; Allen, Christopher T.; Martone, Anthony F.; Sherbondy, Kelly D.; Wikner, David A.

doi:10.1109/radar.2018.8378691

Cited by 13 publications

(7 citation statements)

References 32 publications

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“…The initial research on applying phase modulation to chirps was carried out in [2] and [3] and some insight into the sensing capabilities of such modulation was given in [4]. A filter-bank receiver structure to deal with phase-modulated frequency modulated continuous wave (FMCW) waveform was proposed in [5] and [6]. Therein the authors noticed that the received signal after dechirping has a time delay and the beat frequency shift proportional to the range of the target.…”

Section: Introductionmentioning

confidence: 99%

“…Therein the authors noticed that the received signal after dechirping has a time delay and the beat frequency shift proportional to the range of the target. To consider these two effects together, the authors proposed the compensated stretch processing [5], [6], which takes both these effects into account. The implementation of the compensated stretch processing requires applying a filter bank for all ranges of interest.…”

Section: Introductionmentioning

confidence: 99%

“…In this article, we propose a novel receiver design for modulated LFM signals, which demonstrates the ability to recover the range profile accurately, similar to the compensated stretch processing, and does so in the computational complexity of FFT. To do that, we present in Section II-A the signal model and derive the matched filter receiver, which coincides with the compensated stretch processing [5], [6]. It is further shown that due to the linear relation between the time delay and the beat frequency, the matched filter can be realized via the fractional correlation [17], [18], which can be computed efficiently using the fractional Fourier transform (FrFT) with the computational load of FFT [18], [19].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Fractional Fourier Transform Receiver for Modulated Chirp Waveforms

Petrov

Yarovoy

2023

IEEE Trans. Microwave Theory Techn.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Fractional Fourier Transform Receiver for Modulated Chirp Waveforms

Petrov

Yarovoy

2023

IEEE Trans. Microwave Theory Techn.

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“…This paper also proposes an alternate adaptation of an Adaptive Pulse Compression (APC) algorithm [13], [21] based on Minimum Mean Squared Error (MMSE) filter design which iteratively reduced the sidelobes to the noise floor using only a single range samples snapshot. We consider designing the compensation matrix based on [14] and [22] for the ST-PC MIMO radar system where this compensation matrix is used to design optimal adaptive mismatch filter weights using the proposed algorithm [13], [21], [23]. The proposed filter design method in this paper introduces a new method to achieve optimal waveform separation at the MIMO receiver using the concept of baseline Reiterative MMSE (RMMSE) APC algorithm [13] and its multistatic versions [24].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Pulse Compression for Sidelobes Reduction in Stretch Processing Based MIMO Radars

2022

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Multiple-Input Multiple-Output (MIMO) radars provide various advantages as compared to conventional radars. Among these advantages, improved angular diversity feature is being explored for future fully autonomous vehicles. Improved angular diversity requires use of orthogonal waveforms at transmit as well as receive sides. This orthogonality between waveforms is critical as the cross-correlation between signals can inhibit the detection of weaker targets due to sidelobes of stronger targets. This paper investigates the Reiterative Minimum Mean Squared Error (RMMSE) mismatch filter design for range sidelobes reduction for a Slow-Time Phase-Coded (ST-PC) Frequency Modulated Continuous Wave (FMCW) MIMO radar. Initially, the performance degradation of RMMSE filter is analyzed for improperly decoded received pulses. It is then shown mathematically that proper decoding of received pulses requires phase compensation related to any phase distortions caused due to doppler and spatial locations of targets. To cater for these phase distortions, it is proposed to re-adjust the traditional order of operations in radar signal processing to doppler, angle and range. Additionally, it is also proposed to incorporate sidelobes decoherence for further suppression of sidelobes. This is achieved by modification of the structured covariance matrix of baseline single-input RMMSE mismatch filter. The modified structured covariance matrix is proposed to include the range estimates corresponding to each transmitter. These proposed modifications provide additional sidelobes suppression while it also provides additional fidelity for target peaks. The proposed approach is demonstrated through simulations as well as field experiments. Superior performance in terms of range sidelobes suppression is observed when compared with baseline RMMSE and traditional Hanning windowed range response.

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“…The closest approach to solve the misalignment problem (without using multiple correlation lines) was proposed by Hemmingsen et al as waveform-diverse stretch processing [17], which proposes replacing the final fast Fourier transform (FFT) stage by a compensation transform that permits the use of other chirp-like waveforms, without changing the RF receive chain. Recently, McCormick et al use waveform diverse stretch processing [17] to implement an FMCW phaseattached radar/communications system [18], which aims at joint sensing and communication, but not interference mitigation. However, these methods are computationally intense and cannot be applied to a platform where processing power is limited, such as automotive radar systems.…”

Section: Introductionmentioning

confidence: 99%

Phase-Coded FMCW Automotive Radar: System Design and Interference Mitigation

Uysal

2020

IEEE Trans. Veh. Technol.

109

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A frequency-modulated continuous-wave (FMCW) radar takes advantage of stretch processing (dechirping, deramping) to reduce the sampling requirements of radar systems such as automotive radars. When applying phase coding into FMCW radar systems for interference mitigation or joint communication, preservation of this benefit is not possible, due to the nature of this process. This paper proposes a new phase coded FMCW system as well as a processing strategy based on a groupdelay filter to deal with unaligned phase-coded radar return signals. Moreover, this paper proposes an improved interference mitigation method based on a phase-coded linear-frequencymodulated (LFM) continuous waveform and points out the improvements in the signal-to-interference ratio (SIR). In the proposed mitigation technique, unlike the traditional approach where RF spectrum spreads, the beat frequency spectrum of the FMCW radar spreads, thus the bandwidth of RF hardware stays the same as a classical LFM continuous wave radar. The success of the proposed phase coded frequency-modulated continuous-wave (PC-FMCW) radar is illustrated in simulations and increased interference mitigation performance is validated by experiments.

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Waveform-diverse stretch processing

Cited by 13 publications

References 32 publications

Fractional Fourier Transform Receiver for Modulated Chirp Waveforms

Fractional Fourier Transform Receiver for Modulated Chirp Waveforms

Adaptive Pulse Compression for Sidelobes Reduction in Stretch Processing Based MIMO Radars

Phase-Coded FMCW Automotive Radar: System Design and Interference Mitigation

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