A Performance Analysis of Phase Comparison Monopulse Algorithm for Antenna Spacing and Antenna Array

Sim, Heonkyo; Jung, Min-A; Kim, Seong-Cheol

doi:10.7840/kics.2015.40.7.1413

Cited by 5 publications

(6 citation statements)

References 3 publications

(2 reference statements)

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“…The target angle estimation is based on the PCM technique of monopulse radar. However, considering that it is difficult to resolve the angular ambiguity with a typical single-baseline antenna, in this paper, we employ a method based on a multiple-baseline antenna to estimate the azimuth of the target by comparing the phase differences of the target signals received by each antenna, as in several earlier studies [ 14 , 27 ].…”

Section: Proposed Methods For Irasmentioning

confidence: 99%

Altimetry Method for an Interferometric Radar Altimeter Based on a Phase Quality Evaluation

Hong

2023

Sensors

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A radar altimeter (RA) is useful to improve autonomous functions such as landing guidance or navigation control of an aircraft. To ensure more precise and safer flights by aircraft, an interferometric RA (IRA) capable of measuring the angle of a target is required. However, the phase-comparison monopulse (PCM) technique used in IRAs has a problem in that an angular ambiguity arises with respect to a target with multiple reflection points, such as terrain. In this paper, we propose an altimetry method for IRAs that reduces the angular ambiguity by evaluating the quality of the phase. The altimetry method as introduced here is sequentially described based on synthetic aperture radar, a delay/Doppler radar altimeter, and PCM techniques. Finally, a phase quality evaluation method is proposed for use in the azimuth estimation process. Aircraft captive flight test results are presented and analyzed, and the validity of the proposed method is examined.

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Section: Proposed Methods For Irasmentioning

confidence: 99%

Altimetry Method for an Interferometric Radar Altimeter Based on a Phase Quality Evaluation

Hong

2023

Sensors

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“…The explicit expressions in (28) are derived in the Appendix A. From (19) and (20), analytic MSEs for the second-order Taylor expansion can be written as…”

Section: Mse Expressionmentioning

confidence: 99%

“…Subsequently, an explicit expression of the MSE is also derived. In comparison with the previous studies on the performance analysis of the amplitude comparison monopulse algorithm [13,[15][16][17][18][19][20], we present a more explicit representation of the MSEs in this paper.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Amplitude Comparison Monopulse Direction-of-Arrival Estimation

Lee

2020

Applied Sciences

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Amplitude-comparison monopulse radar in tracking radar uses the tracking scheme of a monopulse radar to estimate the angle components of a target. The performance of the amplitude comparison monopulse radar under measurement uncertainty is analysed. Measurement noises are modelled as Gaussian random variables. Taylor series expansion is adopted to get analytic expression of the mean square error (MSE). Estimation accuracy, in terms of the MSEs for estimate the direction-of-arrival (DOA) estimation algorithm, is usually obtained from the Monte Carlo simulation, which can be computationally intensive especially for large number of repetitions in the Monte Carlo simulation. To get reliable MSE in the Monte Carlo simulation, the number of repetitions should be very large, which implies that there is a trade-off between reliability of the MSE and computational burden in the Monte Carlo simulation. This paper shows the performance of amplitude comparison monopulse radar by linear approximation of nonlinear equations to estimate the DOA. The performance of amplitude comparison monopulse radar is quantitatively analysed via the MSEs, and the derived expression is validated by comparing the analytic MSEs with the simulation based MSEs. In addition, it is shown in the numerical results that analytically derived MSE is much less computationally intensive in comparison with the Monte Carlo simulation-based MSE, which implies that the proposed scheme in this paper results in drastic reduction in computational complexity for evaluation of the MSE.

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“…그런데 단일 기준선에서는 각도 모호성이 발생하 기 때문에 다중 기준선으로 안테나를 설계하여 각도 모 호성을 해소한다 [8] . 이와 관련하여 4×1 안테나 구성으로 기준선 간격에 따른 각도 측정 오차를 분석한 사례도 있 고 [9] , 3×1 안테나 구성으로 표적 SNR(signal to noise ratio) 에 따라 각도 모호성 해소 성능을 분석한 사례도 있으나 [10] , 상기 [8] . [12], [13] .…”

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“…이 때   은 식 (3)에 의해 식 (9)와 같이 구할 수 있다. 간섭계 안테나를 슬롯 배열로 설계하고 [15] , 이득, 빔폭, 격리도 등을 고려하여 기존의 다른 방법들처럼 [9], [10]…”

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Angle Ambiguity Analysis of Antenna Baseline for Interferometric Radar Altimeter

Ha¹,

Jang²,

Lee³

et al. 2021

J. Korean Inst. Electromagn. Eng. Sci.

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In this study, the angle ambiguity of a single baseline is analyzed to design an antenna baseline for an interferometric radar altimeter (IRA). To overcome the shortcoming of a single baseline in which angle ambiguity occurs during every phase period, the IRA adopts multiple baselines for its antenna and estimates the target angle by employing the phase comparison monopulse algorithm. However, the problem with multiple baselines is that an angle ambiguity that is difficult to solve by signal processing occurs when the phase error is large. To minimize this problem at the antenna design stage, the angle ambiguity is analyzed according to the phase error and the baseline spacing. The analysis is performed by conducting a parameter study based on the Monte Carlo simulation, and the validity of the analysis is verified from the test data.

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A Performance Analysis of Phase Comparison Monopulse Algorithm for Antenna Spacing and Antenna Array

Cited by 5 publications

References 3 publications

Altimetry Method for an Interferometric Radar Altimeter Based on a Phase Quality Evaluation

Altimetry Method for an Interferometric Radar Altimeter Based on a Phase Quality Evaluation

Performance Analysis of Amplitude Comparison Monopulse Direction-of-Arrival Estimation

Angle Ambiguity Analysis of Antenna Baseline for Interferometric Radar Altimeter

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