Study on Deambiguity Algorithm for Double Antenna Forward Looking Missile Borne SAR

Bao, Min; Zhou, Peng; Shi, Lin

doi:10.3724/sp.j.1146.2013.00083

Cited by 6 publications

(5 citation statements)

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“…The PRI was set as large as possible within the radar limitations to have its best Doppler resolution at the cost of poor range resolution. Because the movement of the radar is limited, the improvement in the performance of the DBS over DBF is not shown here, but this has been demonstrated in [21], [24], [27], [28], and [29]. The experiment results for the three corner reflectors with different processing methods are shown in Fig.…”

Section: Resultsmentioning

confidence: 97%

“…Several algorithms have been proposed in forward-looking SAR to tackle this problem. Bistatic SAR [27], [28], for example, uses another transmitter located at a different position from the receiver; in this way, the designed geometry can provide additional information to address the ambiguity problem. Frequency diverse array [29] was designed by performing transmit beamforming after range compensation, and the echo from the desired range region can be extracted from ambiguous echoes, thus providing unambiguous imaging.…”

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confidence: 99%

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A Novel Approach to Unambiguous Doppler Beam Sharpening for Forward-Looking MIMO Radar

et al. 2022

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The ambiguity problem of targets in Doppler beam sharpening (DBS) with forward-looking radar is considered. While DBS is proposed earlier to improve the angular resolution of the radar while keeping the antenna aperture size limited, such a solution suffers from ambiguities in the case of targets positioned symmetrically with respect to the platform movement. To address this problem, an approach named unambiguous Doppler-based forwardlooking multiple-input multiple-output (MIMO) radar beam sharpening scan (UDFMBSC) is proposed, based on the combination of MIMO processing and DBS. The performance of the proposed method is compared to existing approaches using simulated data with point-like and extended targets. The method is successfully verified using experimental data. Index Terms-Beam scan, Doppler beam sharpening (DBS), forward-looking radar, multiple-input multiple-output (MIMO) radar processing. I. INTRODUCTION T HE success of autonomous vehicles strongly depends on their environment-sensing capabilities. Autonomous vehicles are equipped with multiple sensors, including radars, cameras, and lidars [1]. Among them, radar can provide accurate and direct measurements of the range, relative velocity, and angle of multiple targets; offer a long-range coverage of more than 200 m even in challenging weather or lighting conditions [2]; and be easily packaged behind the optically nontransparent fascia of the vehicle. Therefore, radar is typically used in current ADASs' tasks, such as adaptive cruise control (ACC) [3], forward collision avoidance (FCA) [4], lane-change assistance [5], or evasion assistance [6], and is considered one of the key technologies for next-generation autonomous vehicles [7].

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Section: Resultsmentioning

confidence: 97%

mentioning

confidence: 99%

A Novel Approach to Unambiguous Doppler Beam Sharpening for Forward-Looking MIMO Radar

et al. 2022

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“…In recent years, researchers have carried out a lot of research on forward-looking radar imaging algorithms. The main algorithms include monopulse radar forward-looking imaging (FLMC) [5][6][7][8], scanning radar deconvolution FLMC [9][10][11][12][13], bistatic forward-looking SAR (BFSAR) imaging [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29], sector imaging radar for enhanced vision (SIREV) [30][31][32][33][34] and multi-channel FLMC algorithms [35][36][37][38][39][40][41][42][43].…”

Section: Introductionmentioning

confidence: 99%

“…However, this algorithm is not suitable for the case of strong time-delay bending and cavitation. The literature [35] studies a new BFSAR imaging method, which solves the problem of left-right Doppler ambiguity through beamforming, but this method has low resolution and weak robustness. A method of Doppler parameter estimation via particle swarm optimisation is presented which enhances resolution for moving targets by BFSAR.…”

Section: Introductionmentioning

confidence: 99%

Airborne forward‐looking radar imaging approach via modified propagator method in planar phased array

Yin,

Wang

2024

IET Radar Sonar & Navi

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Forward‐looking radar imaging is a top priority due to a variety of applications. An airborne forward‐looking radar imaging approach via a modified propagator method (MPM) based on the planar phased array is proposed. It can obtain a better focusing effect without range migration correction. Through the MPM algorithm, the azimuth resolution can be enhanced greatly. Compared with the conventional synthetic aperture radar imaging algorithm, the left‐right ambiguity process can be avoided by generating two‐dimensional spatial spectra. Furthermore, the imaging results of different numbers of elements are given to provide an assessment of the imaging performance. Additionally, the authors proposed to apply the scanning planar phased array configuration to airborne forward‐looking two‐dimensional imaging for the first time. The validity of the method is proven by experiments. The image is more focused. Furthermore, the results of the experiments verify that the proposed method is fit for high‐speed situation and aircraft height variation condition.

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“…A new imaging algorithm for forward-looking bistatic SAR is proposed in [9]. Double antenna forward-looking SAR imaging is introduced in [10], which can solve left-right ambiguity by utilizing the wave path difference between two channels.…”

Section: Introductionmentioning

confidence: 99%

Unambiguous Forward-Looking SAR Imaging on HSV-R Using Frequency Diverse Array

Zhang

Liao

et al. 2020

Sensors

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It is a challenge to realize wide swath imaging due to the conflict between Doppler ambiguity and range ambiguity for hypersonic vehicle (HSV) radar. In addition, there are many conditions requiring the forward-looking imaging. In a forward-looking synthetic aperture radar (SAR) system, left–right ambiguity arises, since two symmetrical targets have the same Doppler frequency magnitude. After selecting an appropriate pulse repetition frequency (PRF) to avoid Doppler ambiguity, we only need to solve the range ambiguity and left–right ambiguity. To handle these issues, this paper proposes an approach to resolve the range ambiguity and left–right ambiguity using the frequency diverse array (FDA). With the range-angle-dependent property of the transmit steering vector, FDA can distinguish the range ambiguous echoes in the spatial frequency domain. By performing transmit beamforming after range compensation, the echo from the desired range region can be extracted from ambiguous echoes. Then, the back projection (BP) algorithm is used to achieve imaging. Next, the echoes of all channels are processed by two receive beamformers, which are designed for the right and left sides, respectively. With the aforementioned procedures, an unambiguous image can be obtained. Simulation results have verified the effectiveness of the proposed approach.

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Study on Deambiguity Algorithm for Double Antenna Forward Looking Missile Borne SAR

Cited by 6 publications

References 0 publications

A Novel Approach to Unambiguous Doppler Beam Sharpening for Forward-Looking MIMO Radar

A Novel Approach to Unambiguous Doppler Beam Sharpening for Forward-Looking MIMO Radar

Airborne forward‐looking radar imaging approach via modified propagator method in planar phased array

Unambiguous Forward-Looking SAR Imaging on HSV-R Using Frequency Diverse Array

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