Jinwei Jia

Dr. Jinwei Jia


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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3 June 2022 in Electronics
Verified
Journal Article
Open access
PDF file
JJJinwei Jia
Jinwei Jia
JJJinwei Jia
Jinwei Jia
MGMin Gao
Min Gao
HXHui Xie
Hui Xie
YYYuanwei Yin
Yuanwei Yin
Radio frequency (RF) stealth is one of the essential research hotspots in the radar field. The anti-sorting signal is an important direction of the RF stealth signal. Theoretically speaking, the anti-sorting signal design is based on the failure principle of the radar signal sorting algorithm, and the SDIF algorithm is a core sorting algorithm widely used in engineering. Thus, in this paper, the SDIF algorithm is first analyzed in detail. It is pointed out that the threshold function of the SDIF algorithm will fail when the signal pulse repetition interval (PRI) value obeys the interval distribution whose length is 20 times larger than the minimum interval of PRI. Secondly, the correctness of the failure principle of SDIF threshold separation is proved by the formula. Finally, the correctness is further verified by the signal design case. The principle of SDIF sorting threshold failure provides theoretical support for anti-sorting RF stealth signal design. It also complements the shortcoming of the casual design for the anti-sorting signal. Furthermore, the principle of SDIF sorting threshold failure helps improve anti-sorting signal design efficiency. Compared with the Dwell & Switch (D&S) signal and jitter signal, the anti-sorting ability of the signal designed by using the sorting failure principle is notably enhanced through simulation and experimentation.


13 July 2022 in Electronics
Verified
Journal Article
Open access
PDF file
ZHZhuangzhi Han
Zhuangzhi Han
JJJinwei Jia
Jinwei Jia
LLLimin Liu
Limin Liu
HXHui Xie
Hui Xie
XDXinyu Dao
Xinyu Dao
As electronic warfare becomes the core of modern warfare, radio frequency (RF) stealth radar is becoming the focus of modern electronic warfare. The anti-sorting strategy of RF stealth radar is a new effective method of the anti-enemy electronic reconnaissance system. Hence, research on the failure mechanism of sorting algorithms has become the cornerstone of anti-sorting technology. In this paper, the mechanism of algorithm failure is studied because the SDIF algorithm is widely used in engineering practice throughout the whole workflow of the sequential difference histogram (SDIF) algorithm, from the estimation of pulse repetition interval (PRI) destroyed by the algorithm and algorithm analysis to the staggered signal. Firstly, the working steps of the SDIF histogram sorting algorithm are considered. Key steps of signal sorting by the algorithm are analyzed, and the failure principle of the sorting algorithm is proposed. It is pointed out that if the PRI signal center value of the two groups of radars is within the tolerance range of the sorting algorithm, when the two signal center values are not of the same order of magnitude, the difference is more than 10 times, and the signal variation is less than 30% of the center value, the sorting error of the algorithm for the radar signal is at least 25%. The sorting algorithm fails to sort signals. At the same time, for the sorting failure of the staggered signal, the sub-PRI design formula of the staggered signal is proposed, and the staggered signal satisfying the design formula can make the sorting algorithm invalid. Finally, the correctness of the SDIF failure principle is further verified by formula derivation, signal design simulation and experiment. The principle of sorting failure provides theoretical support and foundation for the design of anti-sorting RF stealth signal. The principle of sorting failure makes up for the shortcomings of random signal design and improves the design efficiency of RF stealth signal.

12 April 2025 in Entropy
Verified
Journal Article
Open access
PDF file
JJJinwei Jia
Jinwei Jia
MGMin Gao
Min Gao
YLYuying Liang
Yuying Liang
XDXinyu Dao
Xinyu Dao
YYYuanwei Yin
Yuanwei Yin
ZHZhuangzhi Han
Zhuangzhi Han
The technology of anti-informational interference is a research hotspot in radio detectors. According to the workflow of first interception and then interference for the jammer, improving low interception can fundamentally improve the anti-jamming ability of the radio detector. Airspace low interception is one of the most promising research directions. FDA-MIMO technology holds significant potential for application in this field. Therefore, this paper investigates the design principle of an FDA-MIMO radio detector with low beam entropy. From the perspectives of information acquisition and countermeasure, the spatial low interception of a radio detector is defined by beam entropy. In this paper, the power peak point and drop point are set in a relatively close range (Δr), ensuring the rapid attenuation of beam amplitude over short distances. Consequently, the design principle of the FDA-MIMO low interception point beam based on the array frequency offset setting formula is obtained, and the optimal beam convergence is realized. Simulation results show that the half-power beam widths of FDA-MIMO point-like beams are 1 m in the distance dimension and 9 degrees in the beamwidth dimension, with a beam entropy of 11. Compared with other classical frequency offset setting methods, the proposed method demonstrates significantly superior beam performance, particularly in terms of low intercept characteristics. The design principle proposed in this paper provides theoretical support for the low intercept beam design of the FDA-MIMO radio detector, thereby reducing the probability of jammers acquiring signal parameters and enhancing both the low intercept performance and anti-jamming capabilities of the radio detector.

5 December 2022 in Electronics
Verified
Journal Article
Open access
PDF file
ZHZhuangzhi Han
Zhuangzhi Han
JJJinwei Jia
Jinwei Jia
LLLimin Liu
Limin Liu
HXHui Xie
Hui Xie
XDXinyu Dao
Xinyu Dao
Anti-sorting signal design is an important direction of radio frequency (RF) stealth signal design. The RF stealth signal design is based on the anti-sorting signal design principle, which is essentially the failure principle of the radar signal sorting algorithm. Cluster pre-sorting, the key to radar signal sorting, has the advantages of fast sorting, simultaneous sorting of multiple sources, and greatly reduced computational pressure of the main sorting. However, a unified and widely applicable cluster-sorting failure principle guiding the anti-sorting signal design has not been formally reported in RF stealth anti-sorting signal design. In this paper, the principles of the data field-based K-means clustering algorithm and the fuzzy C-means clustering algorithm are first studied. Aiming at the key step of data similarity measurement in the clustering algorithm, the failure principle of cluster sorting based on pseudo-center wide-agile multi-dimensional compound modulation is proposed. This principle can correctly guide the design of the anti-clustering sorting signal, so it is also called the design principle of the RF stealth anti-sorting signal based on pseudo-center wide-agile multi-dimensional compound modulation. The correctness of the principle is proved by formula derivation, signal simulation, and a sorting experiment. Through a signal comparison simulation with random interference pulse anti-sorting signals, it is strongly proved that the anti-sorting performance of signals designed under the guidance of the anti-clustering signal design principle proposed in this paper is stronger than that of random interference pulse signals. This study provides theoretical support for designing RF stealth anti-sorting signals. Using the signal design principle proposed in this paper, the anti-sorting performance of the RF stealth signal is improved by 10%. The principle of signal design helps to improve design efficiency.

1 October 2025 in AIP Advances
Verified
Journal Article
Open access
JJJinwei Jia
Jinwei Jia
MGMin Gao
Min Gao
ZHZhuangzhi Han
Zhuangzhi Han
XDXinyu Dao
Xinyu Dao
At present, the information jamming for radio fuze has high efficiency and a remarkable effect, which has attracted the attention of major military powers in the world. In order to ensure the damage efficiency of the radio fuze in the battlefield, the relevant technology of anti-information jamming has become a research hotspot in the field of radio fuzes. This paper introduces the military demand for the fuze against interference and describes the current research status of the radio fuze against information-based interference from the three aspects, namely signal domain, information domain, and antenna selection. There are many problems, such as deterioration of resolution and inapplicability of signal processing methods. Based on the unique “S” curved array pattern of FDA-MIMO (frequency diverse array-multiple in multiple out) technology, the anti-jamming of FDA-MIMO technology is reviewed from three aspects, namely direction-finding deception, low interception point beamforming, and anti-main lobe interference. Finally, the anti-information jamming technology of a radio proximity fuze based on FDA-MIMO is prospected.