Low Elevation Angle Estimation with Range Super-Resolution in Wideband Radar

Huan, Sha; Zhang, Man; Dai, GanE; Gan, Huaguo

doi:10.3390/s20113104

Cited by 5 publications

(5 citation statements)

References 29 publications

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“…In addition, the angle of the arrival estimation algorithm [ 17 , 18 ] based on the UCA also provides us with a reference. For DOA estimations of complex terrain, there is a broadband radar method based on a super-resolution algorithm [ 19 ]. Compared to conventional narrowband radar, this method has a better effect.…”

Section: Introductionmentioning

confidence: 99%

Meter Wave Polarization-Sensitive Array Radar for Height Measurement Based on MUSIC Algorithm

Wang

Chen

2022

Sensors

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Obtaining good measurement performance with meter wave radar has always been a difficult problem. Especially in low-elevation areas, the multipath effect seriously affects the measurement accuracy of meter wave radar. The generalized multiple signal classification (MUSIC) algorithm is a well-known measurement method that dose not require decorrelation processing. The polarization-sensitive array (PSA) has the advantage of polarization diversity, and the polarization smoothing generalized MUSIC algorithm demonstrates good angle estimation performance in low-elevation areas when based on a PSA. Nevertheless, its computational complexity is still high, and the estimation accuracy and discrimination success probability need to be further improved. In addition, it cannot estimate the polarization parameters. To solve these problems, a polarization synthesis steering vector MUSIC algorithm is proposed in this paper. First, the MUSIC algorithm is used to obtain the spatial spectrum of the meter wave PSA. Second, the received data are properly deformed and classified. The Rayleigh–Ritz method is used to decompose the angle to realize the decoupling of polarization and the direction of the arrival angle. Third, the geometric relationship and prior information of the direct wave and the reflected wave are used to continue dimension reduction processing to reduce the computational complexity of the algorithm. Finally, the geometric relationship is used to obtain the target height measurement results. Extensive simulation results illustrate the accuracy and superiority of the proposed algorithm.

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Section: Introductionmentioning

confidence: 99%

Meter Wave Polarization-Sensitive Array Radar for Height Measurement Based on MUSIC Algorithm

Wang

Chen

2022

Sensors

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“…Paper [8] applies neural network technology in the field of conventional phased array meter wave radar, and obtained good angle measurement accuracy. Paper [9] proposes a low-elevation estimation method for wideband radar based on super-resolution algorithm, which is more suitable for complex terrain than the low-elevation estimation method of narrowband radar.…”

Section: Introductionmentioning

confidence: 99%

Beam Split Algorithm for Height Measurement With Meter-Wave MIMO Radar

2021

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“…The algorithm considers the influence of complex terrain on low elevation angle height measurement, and reduces the complexity of the algorithm. In Reference [6], a low elevation angle estimation method for wide band radar based on super-resolution algorithm is proposed, which is more suitable for complex terrain than conventional narrow-band radar low elevation estimation method.…”

Section: Introductionmentioning

confidence: 99%

Height Measurement With Meter Wave MIMO Radar Based on Precise Signal Model Under Complex Terrain

Song

2021

IEEE Access

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Meter wave radar height measurement is one of the most difficult problems in meter wave radar system. At present, the most popular height measurement methods of meter wave radar include beam splitting method, MUSIC algorithm and maximum likelihood estimation method, which can achieve good performance under flat ground. However, the real ground is not ideal condition, and the situation of undulating ground is also very complicated. Under this condition, the performance of the above algorithm dropped sharply. Many researchers solve this problem by improving the robustness of the algorithm. However, the authors think that the key to solve the problem is to establish a refined height measurement signal model. In this paper, the accurate model of reflection coefficient, reflection height and reflection point under the condition of undulating ground are established to provide accurate signal model for meter wave radar height measurement. Then we deduce the application of generalized MUSIC algorithm and maximum likelihood estimation algorithm for MIMO radar in the accurate terrain signal model. In fact, the method proposed in this paper is a terrain matching MIMO radar target height measurement, and the traditional algorithm can be regarded as terrain mismatch. The simulation results show that the accuracy of terrain matching estimation of the precise signal model established in this paper is much better than that of the traditional simplified signal model. INDEX TERMS MIMO radar, height measurement, meter wave radar, precise signal model. c , • • • , e −j2πf h N sin θ d c T = s(t)e −j2πfR −(ha+(N −1)d) sin θ d c × 1, e −j2πf d sin θ d c , • • • , , e −j2πf (N −1)d sin θ d c T

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Low Elevation Angle Estimation with Range Super-Resolution in Wideband Radar

Cited by 5 publications

References 29 publications

Meter Wave Polarization-Sensitive Array Radar for Height Measurement Based on MUSIC Algorithm

Meter Wave Polarization-Sensitive Array Radar for Height Measurement Based on MUSIC Algorithm

Beam Split Algorithm for Height Measurement With Meter-Wave MIMO Radar

Height Measurement With Meter Wave MIMO Radar Based on Precise Signal Model Under Complex Terrain

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