Low-Redundancy Large Linear Arrays Synthesis for Aperture Synthesis Radiometers Using Particle Swarm Optimization

Jang, Chol-Hyon; Hu, Fei; He, Feng; Jun, Li; Zhu, Dong

doi:10.1109/tap.2016.2543755

Cited by 28 publications

(9 citation statements)

References 27 publications

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“…Similarly, the receiver would be a 6-element YINA capable of providing an aperture of 13. The respective transmitting and receiving arrays can then be easily obtained since YINA has closed-form 19,38,114,190,247] [0, 1,4,7,9,19,20,23,26,28,38,39,42,45,47,114,115,118,121,123,190,191,194,197,199,247,248,251,254,256] 17,34,51,119,187] [0, 1,2,5,8,17,18,19,22,25,34,35,36,39,42,51,52,53,…”

Section: Numerical Simulation Resultsmentioning

confidence: 99%

“…First, a table look-up has to be performed to extract an LRLA that can provide the desired aperture. The nearest known LRLA configuration has 28 sensors and can provide an aperture of 259 [36]. The antenna positions for the chosen LRLA are shown in Table 5.…”

Section: Numerical Simulation Examplementioning

confidence: 99%

“…MRA and LRLA notations given in [6,36] Table 5 have been obtained using the LRLA notation {1, 1, 1, 9, 9, 9, 9, 1, 17 11 , 8, 8, 8, 2, 3, 1, 1, 1} in [36]. For simulations, two SIMO radars were considered.…”

Section: Numerical Simulation Examplementioning

confidence: 99%

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Novel Mra-Based Sparse Mimo and Simo Antenna Arrays for Automotive Radar Applications

Gudheti

2020

PIER B

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Automotive radars make use of angle information obtained from antenna arrays to distinguish objects that lie in the same range-doppler cell (relative to the ego vehicle). This paper proposes novel ways of using presently known minimum redundancy arrays (MRAs) in single-input multiple-output (SIMO) and multiple-input multiple-output (MIMO) automotive radars. Firstly, an MRA-based sparse MIMO array is proposed as a novel modification to the nested MIMO array. The proposed sparse MIMO array uses MRAs as the transmitting and receiving modules, unlike the nested MIMO array, which uses two-level nested arrays (TLNAs) at the transmitting and receiving blocks. Upper bounds for the sum co-array aperture and the overall attainable degrees of freedom (DOF) offered by the MIMO radar have been derived in terms of the number of sensors. Secondly, the suitability of large Low-Redundancy Linear Arrays (LRLAs) in SIMO automotive radars is also studied. A long-range automotive radar driving scenario was assumed for DOA estimation and simulations were carried out in MATLAB using the co-array MUltiple SIgnal Classification (co-array MUSIC) algorithm. Simulation results confirm that the proposed MRA-based MIMO array provides better angular resolutions than the nested MIMO array for the same number of sensors and that LRLAs can serve as a handy replacement for ULAs in SIMO radars owing to their acceptable performance. As MIMO and SIMO radars designed from currently known MRAs were sufficient to satisfy the angular resolution requirements of modern automotive radars, a need to synthesize new MRAs did not arise.

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Section: Numerical Simulation Resultsmentioning

confidence: 99%

Section: Numerical Simulation Examplementioning

confidence: 99%

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Novel Mra-Based Sparse Mimo and Simo Antenna Arrays for Automotive Radar Applications

Gudheti

2020

PIER B

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“…The array geometry establishes basic constraints upon their operation and has bearings on instrument performances. Conventionally, antenna elements are arranged thinly, and array geometries known as minimum redundancy arrays (MRAs) [4]- [8] are employed to attain high angular resolution or sampling efficiency. As far as array design for optimum radiometric sensitivity is concerned, the minimum degradation array (MDA) is proposed and a synthesis approach based on simulated annealing (SA) is suggested [9].…”

Section: Introductionmentioning

confidence: 99%

Expansion Design of Interferometric Aperture Synthesis Arrays Based on Multi-Objective Optimization

Zhu

Peng

2019

IEEE Access

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This paper presents a study on expansion design of thinned arrays in interferometric aperture synthesis radiometers. The design problem deals with how to properly employ a limited number of antenna elements around a fixed array to fulfill performance requirements of interest, such as angular resolution, peak sidelobe level, and array redundancy. These factors of merit are grouped and discussed within the framework of multi-objective design. Three state-of-the-art optimizers based on multi-objective particle swarm optimization, non-dominated sorting genetic algorithm II, and non-dominated neighbor immune algorithm are implemented for specific design examples. A comparative analysis is performed to point out the features and performances of the above-mentioned search methods. INDEX TERMS Expansion design, interferometric aperture synthesis (IAS), multi-objective optimization, thinned interferometric arrays.

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“…Recent research efforts have shown to outperform previous approaches in terms of required radiation characteristics and convergence speed. Some of the most notable techniques include genetic algorithm (GA) [16], [17], iterative Fourier transform (IFT) [10], [18], particle swarm (PS) [19]- [21], multi-level branch-and-bound (B&B) [22] matrix pencil method [23], Compressive sensing [24], [25], invasive weed (IW) [26], ant colony [27] and so on. A number of hybrid schemes of multiple approaches were also proposed [28], [29].…”

Section: Introductionmentioning

confidence: 99%

Compressive Sensing Multiplicative Antenna Array

Abbasi

Fusco

Zelenchuk

2018

IEEE Trans. Antennas Propagat.

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Abstract-This paper presents a novel approach to formulate an aggressively thinned sparse antenna array suitable for orthogonal multi-beam receiver applications. The power patterns of M×N element planar rectangular array are first reduced to orthogonally placed cross multiplicative sub-arrays. These arrays are then re-distributed using a compressive sensing (CS) approach in order to achieve array thinning along two 1-D sub-arrays for a fixed steered beam projection. A multi-beam synthesis approach is then implemented which permits efficient beam maxima as well as null placement of multiple interlaced far-field patterns. Numerical examples are presented to show the implementation of the proposed approach.

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Low-Redundancy Large Linear Arrays Synthesis for Aperture Synthesis Radiometers Using Particle Swarm Optimization

Cited by 28 publications

References 27 publications

Novel Mra-Based Sparse Mimo and Simo Antenna Arrays for Automotive Radar Applications

Novel Mra-Based Sparse Mimo and Simo Antenna Arrays for Automotive Radar Applications

Expansion Design of Interferometric Aperture Synthesis Arrays Based on Multi-Objective Optimization

Compressive Sensing Multiplicative Antenna Array

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