Translational velocity estimation by means of bistatic isar techniques

Bucciarelli, Marta; Pastina, Debora; Errasti-Alcala, Borja; Braca, Paolo

doi:10.1109/igarss.2015.7326170

Cited by 4 publications

(3 citation statements)

References 8 publications

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“…In agreement with the study cases presented in [14,15], the active system is assumed to transmit a bandwidth of B = 100 MHz with a center frequency of f c = 10 GHz, a Pulse Repetition Frequency of PRF = 600 Hz, and 2048 pulses in the Coherent Processing Interval (CPI). The target moves with translational motion according to velocity v = [8 4 0] T m/s, negligible acceleration, and a constant yaw rotation motion ω y = 1 deg/s.…”

Section: Theoretical Performance Analysis-step 1: Single-sensor Signa...mentioning

confidence: 92%

Decentralized Approach for Translational Motion Estimation with Multistatic Inverse Synthetic Aperture Radar Systems

Testa,

Pastina,

Santi

2023

Remote Sensing

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This paper addresses the estimation of the target translational motion by using a multistatic Inverse Synthetic Aperture Radar (ISAR) system composed of an active radar sensor and multiple receiving-only devices. Particularly, a two-step decentralized technique is derived: the first step estimates specific signal parameters (i.e., Doppler frequency and Doppler rate) at the single-sensor level, while the second step exploits these estimated parameters to derive the target velocity and acceleration components. Specifically, the second step is organized in two stages: the former is for velocity estimation, while the latter is devoted to velocity estimation refinement if a constant velocity model motion can be regarded as acceptable, or to acceleration estimation if a constant velocity assumption does not apply. A proper decision criterion to select between the two motion models is also provided. A closed-form theoretical performance analysis is provided for the overall technique, which is then used to assess the achievable performance under different distributions of the radar sensors. Additionally, a comparison with a state-of-the-art centralized approach has been carried out considering computational burden and robustness. Finally, results obtained against experimental multisensory data are shown confirming the effectiveness of the proposed technique and supporting its practical application.

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Section: Theoretical Performance Analysis-step 1: Single-sensor Signa...mentioning

confidence: 92%

Decentralized Approach for Translational Motion Estimation with Multistatic Inverse Synthetic Aperture Radar Systems

Testa,

Pastina,

Santi

2023

Remote Sensing

Self Cite

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show abstract

“…Recently, the work has been extended to direct sampling radar [13], but the disadvantage still exits. Some investigations were relied on signal waveforms [14][15][16] or system structures [17,18]. A method not based on range profile was presented in [19], but it suffered from heavy computation load.…”

Section: Introductionmentioning

confidence: 99%

“…Thus the ISAR system is usually accompanied by a narrowband mode or narrowband radar, which conducts the functions of searching and tracking the target but rarely provides precision high enough for the target velocity while inducing implementation difficulties in the radar system. An alternative solution is to estimate velocity directly from the wideband echo by signal processing, which has the advantage of decreasing the burden of the radar system, and this work has attracted much attention in the radar community [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Precise Radial Velocity Estimation for Inverse Synthetic Aperture Radar

Lin¹,

Zhang²,

Li³

et al. 2016

PIER M

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Abstract-This paper describes a convenient technique of precise radial velocity estimation for inverse synthetic aperture radar (ISAR). In order to keep both the range profile and phase history of the echoes coherent, direct sampling with high sampling rate using high performance analog-to-digital converter and matched-filter correlation processing in pulse compression are used for the ISAR system. Due to the coherence property of the echoes, the translational motion compensation parameters for ISAR imaging are just the radial motion parameters of the target. Thus, the coarse velocity estimation is obtained by range alignment and fine velocity estimation is achieved by phase adjustment. The fine velocity estimation is ambiguous and the coarse velocity estimation is used for ambiguity resolution. The advantage of this technique is the high precision with range error values at sub wavelength levels, and it achieves velocity information and translational motion compensation at the same time. Both simulated and experimental validations are presented to verify the effectiveness of the proposed method.

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