Automatic pulse repetition pattern reconstruction of conventional radars

Abstract

Signals of radars with fixed, stagger and other conventional pulse repetition intervals (PRI) occupy a large proportion in most radar reconnaissance datasets. Automatic and accurate reconstruction of the PRI patterns of these radars is an important task in realizing intelligent processing of radar reconnaissance data. In order to address this problem, this article proposes an automatic method based on the extraction and extension of frequent differential time-of-arrival (DTOA) items, which can be combined with other pulse parameters such as pulse width. The values and ordering of the frequent items are determined to reconstruct a complete PRI cycle, and the radar pulses are deinterleaved at the same time as a by-product. Compared with the commonly used onedimensional radar reconnaissance parameters such as framework PRI or typical PRI set, the reconstructed PRI pattern contains more information about radar operational modes and can be applied to realize online and parallel pulse deinterleaving and more accurate radar type classification.This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

Reconstruction of Radar Pulse Repetition Pattern via Semantic Coding of Intercepted Pulse Trains

“…Due to the complexity of PRI pattern reconstruction, there are few studies that are consistent with the background of this paper. The method of frequent item extraction and expansion proposed in literature [15] (hereafter referred to as frequent term extension method) is the latest related study, and it has good results in relatively simple PRI patterns, which is very worthy of comparison.…”

“…The second part gives an example to illustrate the process of PRI pattern reconstruction. The third and fourth parts compare the performance of the proposed method (hereafter referred to as semantic coding method) and frequent term extension method [15] affected by real-world factors. The fifth part explores the adaptability of this method to more complex PRI modulation types and higher-order PRI patterns.…”

“…The missing pulse rate is set to 0-0.7, the number of intercepted pulses is 100 and 300, and no interferential pulse is set. The semantic coding method and the frequent item extension method [15] are tested 100 times to calculate the reconstruction accuracy as shown in Fig. 8.…”

“…The high-dimensional characteristics of PRI pattern make it more difficult to reconstruct, and there are few studies. One of the typical and latest methods [15] introduces frequent items and expands them to reconstruct the PRI pattern. Although such a method realizes the reconstruction of PRI patterns, it is impractical since it sets many subjective parameters and does not apply to complex PRI modulation types.…”

Sequential extraction and recognition of pulse group structure for multi‐function radar

“…Assuming that there are M states inside pulse subgroup in Figure 1, the DTOA between the pulses in state and is defined as . The state transitions of the pulses in a given pulse subgroup is depicted by Equation (1), where represents the PRI pattern within the pulse subgroup [24], with for constant PRI and for stagger PRI. Influenced by the level of the reconnaissance receiver and the electromagnetic environment, the missing pulses often appear in the observed pulse trains; this means that the state transition between pulses is no longer limited to adjacent states but may also occur between non‐adjacent states.…”