Weapon-Target Assignment for Multi-to-Multi Interception With Grouping Constraint

Abstract

This paper presents a weapon-target assignment (WTA) method for a multi-to-multi interception with fixed and adaptive grouping constraints. First, to get a better evaluation of the interception performance, the miss-distance under heading error, the time-to-go, and the line-of-sight rate are used to construct an interception probability function which considers the interception efficiency and the required energy. Second, to provide good engagement conditions for cooperative guidance in the case of multiple missiles against multiple targets, and meanwhile, to ensure that each target is allocated with appropriate interception resources, a fixed grouping strategy and an adaptive grouping strategy based on penalty function are proposed for the WTA problem. Then, the artificial bee colony algorithm is employed to solve the WTA problem with grouping constraints. Finally, two scenarios of multi-to-multi interception are simulated to verify the proposed WTA method. Results indicate that the method can realize the optimal allocation schemes which satisfy both the fixed and the adaptive grouping constraints.INDEX TERMS Weapon-target assignment, grouping constraint, cooperative attack, multi-to-multi interception, artificial bee colony algorithm.

A Novel Heterogeneous Sensor-Weapon-Target Cooperative Assignment for Ground-to-Air Defense by Efficient Evolutionary Approaches

“…This paper takes the medium/close-range ground-to-air missiles as two types of weapons. The interception probability of guided missile is investigated in [26]- [28]. It can be concluded that the interception probability of ground-to-air missiles is related to the guidance accuracy and the consumed energy in the flight process.…”

Multistage Cooperative Trajectory Planning for Multimissile Formation via Bi-Level Sequential Convex Programming

“…In the present research work, the cylinder model with an infinite height is used to represent the no-fly zone. (22) where matrix C 2 = diag(0, 0, 0, 1, 1, 0) is used to extract the horizontal position of the members, N n is the number of the no-fly zones, and p nfz,l and R n,l are the horizontal position and the radius of the l th no-fly zone, respectively.…”

“…Very few studies on cooperative trajectory planning with free flight time exist in the literature. Meanwhile, in the cooperative attack scenario, multiple missiles are required to attack the target simultaneously to utilize formation advantage with the purpose of striking the enemy defense system and the target [21], [22]. To address this issue and to ensure the flight time consensus, Wang et al proposed a decoupled cooperative trajectory planning approach for UAV formation, in which the decoupled sub-problems of trajectory optimization considering the constraint on time consensus for each member was solved with SCP [23].…”

Optimal Design and Analysis on High Overload Buffer Structure of Passive Semi-Strapdown Inertial Navigation System

“…Affected by dimensions and severe environments, it is difficult to apply advanced navigation means, including high-precision inertial components like fiber-optic gyroscopes and image matching, in guided ammunition [6]. Due advantages such as its small size, anti-high overload capacity, strong autonomy, and high reliability, an inertial measurement system based on micro-electro-mechanical system-based inertial components has become an essential navigation component in the guidance process of rotating ammunition with high overload, high impact and short flight time [7][8][9]. However, because of its manufacturing technique, its measurement range and precision are not matched with each other; thus, the attitude of the ammunition when rotating at a high speed cannot be accurately measured by a traditional strapdown inertial navigation system [10].…”