A Novel Method to Suppress Short-Range Clutter in Airborne Radar

Jia, Fengde; Zhao, Ping; Zhang, Lei; Zhai, Menglin

doi:10.1109/radarconf2043947.2020.9266523

Cited by 6 publications

(4 citation statements)

References 12 publications

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“…The solution of the convex optimization problem (5) can be computed using a generic convex solver, such as the CVX: Matlab Software for Disciplined Convex Programming [18], as presented in [15], [16], [35], [36]. However, such a solver is unsuitable for large-scale problems due to high computational costs, as mentioned by its creators [18].…”

Section: B Fast Computation Of the Mismatched Filtermentioning

confidence: 99%

A Cooperative SAR-Communication System Using Continuous Phase Modulation Codes and Mismatched Filters

Chatzitheodoridi¹,

Taylor²,

Rabaste³

et al. 2023

IEEE Trans. Geosci. Remote Sensing

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The electromagnetic congestion due to the continuous growth of spectral demand has been skyrocketing for the past years. Joint radarcommunication systems are thus attracting attention as they can alleviate the spectrum occupancy by using the same bandwidth to perform both applications. In this context, a cooperative radar-communication system, which is a specific category that uses communication codes to both transmit information and perform radar missions, can be considered. Continuous phase modulated (CPM ) codes are considered in this article in order to generate high resolution radar images from an airborne radar. Since mitigating the sidelobe level energy is essential for good image quality, we resort here to optimized mismatched filters. A fast algorithm is proposed to minimize the computational time of these filters. Simulated data are generated, as well as re-synthesized SAR images, reconstructed from real chirp-based data, using CPM codes and mismatched filters. Their performance is evaluated using different comparison tools, and shows that the use of mismatched filtering and different messages embedded in the phase of each transmitted code, provides enhanced image quality.

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Section: B Fast Computation Of the Mismatched Filtermentioning

confidence: 99%

A Cooperative SAR-Communication System Using Continuous Phase Modulation Codes and Mismatched Filters

Chatzitheodoridi¹,

Taylor²,

Rabaste³

et al. 2023

IEEE Trans. Geosci. Remote Sensing

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“…Considering that the problem ( 3) is convex, it can be solved using a convex solver, such as the CVX: Matlab Software for Disciplined Convex Programming [22], as it is performed in [9], [17], [20], [21]. However, as mentioned in [22], CVX is not suitable for large-scale problems due to high computational costs.…”

Section: Mismatched Filter Definitionmentioning

confidence: 99%

“…In many papers that deal with sidelobe suppression [9], [17], [20], [21], the Matlab toolbox CVX : Matlab Software for Disciplined Convex Programming [22] is used to solve proteiform convex optimization problems. However, as mentioned in [22], this solver is not recommended for largesized vector variables due to its computational cost.…”

Section: Introductionmentioning

confidence: 99%

Fast Computation of the Optimal Integrated Sidelobe Level Filter for Large-Scaled Problems

Chatzitheodoridi

Taylor

Rabaste

et al. 2022

2022 IEEE Radar Conference (RadarConf22)

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The growth of spectral demand due to congestion in the electromagnetic spectrum is skyrocketing through the past years. Joint radar-communications systems are thus attracting more attention as they can share their bandwidth to alleviate the frequency spectrum. In such a system, communication codes are used to both transmit information and perform radar missions. The latter notably requires mitigating the sidelobe level energy, which is generally achieved via the use of a mismatched filter. However, such a filter may be costly to optimize, especially for largescale problems. Hence, this paper proposes a fast algorithm for computing the optimal integrated sidelobe level mismatched filter, based on the Lagrangian dual function of the primal problem. Once the Lagrangian function is calculated, the optimum values of its variables are computed, after formulating it as a monodimensional problem, in order to provide the desired filter. The resulting computational time shows a dramatic improvement on the execution time of the proposed method compared to the classical Matlab convex solver CVX, especially for large-scale problems.

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“…Before STAP, L EFs were designed to generate zeros at corresponding short-range cells to eliminate SRC in each range cell, where L is the number of range rings [5]. In a PA radar system, an EF is designed to generate a certain zero-notch to suppress the SRC at one time [6]. When the number of elevation array elements is large, EF in PA system can suppress SRC better, otherwise, the performance deteriorates.…”

Section: Introductionmentioning

confidence: 99%

Elevation Filter Design for Short-Range Clutter Suppression on Airborne Radar in MIMO System

Jia

TAN

et al. 2023

IEICE Trans. Fundamentals

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Short-range ambiguous clutter can seriously affect the performance of airborne radar target detection when detecting long-range targets. In this letter, a multiple-input-multiple-output (MIMO) array structure elevation filter (EF) is designed to suppress short-range clutter (SRC). The sidelobe level value in the short-range clutter region is taken as the objective function to construct the optimization problem and the optimal EF weight vector can be obtained by using the convex optimization tool. The simulation results show that the MIMO system can achieve better range ambiguous clutter suppression than the traditional phased array (PA) system.

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A Novel Method to Suppress Short-Range Clutter in Airborne Radar

Cited by 6 publications

References 12 publications

A Cooperative SAR-Communication System Using Continuous Phase Modulation Codes and Mismatched Filters

A Cooperative SAR-Communication System Using Continuous Phase Modulation Codes and Mismatched Filters

Fast Computation of the Optimal Integrated Sidelobe Level Filter for Large-Scaled Problems

Elevation Filter Design for Short-Range Clutter Suppression on Airborne Radar in MIMO System

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