Analysis and simulation of interference suppression for space-time adaptive processing

The performance of antijamming is limited by channel mismatch in global navigation satellite system (GNSS) antenna arrays receivers. Only when the amplitude and phase characteristics of each array channels are the same is the interference likely to be completely suppressed. This paper analyzes the impact on antijamming performance of channel mismatch. We built the model of channel mismatch and derived the impact on transfer function with space-time adaptive processor (STAP) of channel mismatch in theory. The impact factor of channel mismatch is proposed by the fuzzy transfer function, which could directly reflect the antijamming performance under channel mismatch. In addition, every characteristic in the channel mismatch model is analyzed. The analysis results show that the greatest impacts on antijamming performance are the range of amplitude wave and the group delay bias, while the influence of the number of amplitudes is next. As for the effect of group delay fluctuation is the smallest.

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“…The taps in STAP can compensate the channel mismatch. The STAP equipped with elements and taps is shown in Figure 1 [16].…”

Section: Impact On Transfer Functionmentioning

confidence: 99%

Impact on Antijamming Performance of Channel Mismatch in GNSS Antenna Arrays Receivers

Nie

Chen

et al. 2016

International Journal of Antennas and Propagation

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“…PI could be split into different ranges depending on the domain involved, the Spatial Only Processing Power Inversion (SOP-PI) as well as Space-Time Adaptive Processing Power Inversion (STAP-PI). Compared with SOP-PI, STAP-PI has been validated to have a better performance in mitigating interference effects [5] [6]. However, as revealed in [3] [4] [7] [8] [9] [10] [11] , STAP-PI algorithm will cause distortion of cross correlation function(CCF) and time delay.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Effects Power-Inversion (PI) Adaptive Algorithm Have on GNSS Received Pseudorange Measurement

et al. 2022

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Power inversion algorithms (PI) are widely used by ant-jamming receivers in harsh environment, but it also induces pseudo-range measurement error which is fatal to high precision receivers. In this paper, it proposes a more accurate method based on the S Curve Bias(SCB) to evaluate the pseudorange bias which can actually affect the positioning results, as it excludes a fixed time delay contained in the directly differing method. When using this method to assess the bias, it is found that pseudo-range errors can be influenced by many factors including the type of interference. Simulation as well as experiment based on a 4-element array antenna are designed and carried out. The simulation has shown that both SOP-PI and STAP-PI will bring bias to pseudo-range measurement. Specifically, the maximum bias caused by SOP-PI is 1m while the bias caused by STAP-PI is up to 10m. Moreover, comparing to the method which directly differs the pseudo-range of output signal and the reference signal,the method proposed in this paper has better performance. Furthermore, the experimental results verify the effectiveness of the proposed evaluating method.

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“…The proposed space-time beamformer can be operated in multiple linear constraints mode to combat the angle mismatch problem. The antijamming performance of the spatial adaptive processing and STAP is discussed in [24].…”

Section: Introductionmentioning

confidence: 99%

“…Numerous algorithms with different tradeoffs between performance and complexity for designing STAP have been proposed [18][19][20][21][22][23][24]. A STAP method with sub-band structure, called sub-band adaptive array (SBAA) is put forward in [18,19].…”

Section: Introductionmentioning

confidence: 99%

A Virtual Space-Time Adaptive Beamforming Method for Space-Time Antijamming

Liu¹,

Du²,

Bai³

2017

PIER M

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Abstract-Space-time antijamming problem has received significant attention recently in the passive radar systems, such as Global Navigation Satellite Systems (GNSS). The space-time beamformer contains two adaptive filters, i.e., spatial filter and temporal filter for canceling interference signals. However, most of the works on space-time antijamming problem presented in the literature require multiple antennas and delay taps. In this paper, a virtual space-time adaptive beamforming method is proposed. The temporal smoothing technique is utilized to add a structure of the received data model for the implementation of the proposed method without delay taps. Compared with the previous works, the presented method offers a number of advantages over other recently proposed algorithms. For example, the space-time weight vector can be obtained by simple algebraic operations with lower computational complexity, since the matrix inversion is avoided. Furthermore, the system overhead can be reduced obviously since the temporal smoothing technology is used instead of multiple delay taps. Simulation results are presented to verify the effectiveness of the proposed method.

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Analysis and simulation of interference suppression for space-time adaptive processing

Cited by 11 publications

References 2 publications

Impact on Antijamming Performance of Channel Mismatch in GNSS Antenna Arrays Receivers

Impact on Antijamming Performance of Channel Mismatch in GNSS Antenna Arrays Receivers

Analysis of the Effects Power-Inversion (PI) Adaptive Algorithm Have on GNSS Received Pseudorange Measurement

A Virtual Space-Time Adaptive Beamforming Method for Space-Time Antijamming

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