Detection and correction of errors in linear antenna arrays

Appasani, Bhargav; Pelluri, Rahul; Gupta, Nisha

doi:10.1002/jnm.2453

Cited by 4 publications

(3 citation statements)

References 32 publications

(73 reference statements)

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“…where χ is a known parametric vector solved by ( 18) , is the steering vector of the main radiation direction of the first sideband, and g is the parametric vector we need to obtain. 1  is the maximum radiation intensity at the radiation direction of the first sideband, and 2…”

Section: Anti-error Robust Pattern Synthesis Of Time-modulated Linear...mentioning

confidence: 99%

“…Many researchers have studied the amplitude and phase excitation error in array antenna. Appasani et al proposed a pseudo measurement technique for detection and correction of excitation error of the array antenna [1]. Zahedi and Arand proposed a phase compensation method based on the genetic algorithm to realize the phase error correction for large phased array antennas [2].…”

Section: Introductionmentioning

confidence: 99%

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Anti-Error Robust Pattern Synthesis Algorithm in Time-Modulated Array Antenna

et al. 2022

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Compared with the traditional antenna array, the time-modulated array can increase the flexibility of the array by adding time switches. However, due to the introduction of time switches, the timemodulated array antenna is more sensitive to random errors than the traditional array. Besides random errors caused by unavoidable factors such as array deformation and defects of processing and assembly in the traditional array, time-modulation parameter errors will be introduced by time switches. As errors in the traditional array can degrade the performance of the array, time-modulation parameter errors can lower the performance of the array pattern as well, which will lift the side-lobe and increase the dynamic range of the side-lobe. Aiming at the time-modulation parameter errors in the time-modulated array, an anti-error robust pattern synthesis algorithm (AERPS) based on the convex optimization (CVX) is proposed in this paper. In the algorithm, the optimization model for the pattern synthesis of the time-modulated array is established and analyzed. Then the model is divided into two sub-models of the center frequency and the first sideband, and the convex optimization solution is first performed on the center frequency model. After the center frequency model is solved, the convex optimization solution is used to solve the first-order sideband model to obtain the final results. The simulation results of the time-modulated array in this paper show that the algorithm can reduce the average value and the dynamic range of the normalized side-lobe level, thus verifying the effectiveness and the robustness of the algorithm.

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Section: Anti-error Robust Pattern Synthesis Of Time-modulated Linear...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Anti-Error Robust Pattern Synthesis Algorithm in Time-Modulated Array Antenna

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Iterative Fourier transform (IFT) [5], [30], [31] and quantized IFT (QIFT) [32] is another method for calculating the excitation of remaining elements. Besides the calculation methods based on intelligence optimization algorithm and IFT, there are other techniques based error minimization scheme, such as cumulative sum (CUSUM) [11], matrix pencil technique (MPT) [33]- [35], conjugate symmetry approach [36], minimum norm least-square [37]. After the excitation was calculated, the remaining TR modules would be reconfigured to obtain the repaired pattern which is similar to the original pattern.…”

Section: Introductionmentioning

confidence: 99%