5 results about "Geometric programming" patented technology

The invention discloses a pre-training visual language model-based cross-country scene unmanned vehicle auxiliary decision-making method, and belongs to the technical field of unmanned driving. Comprising the following steps: constructing a simulation data set for training a three-dimensional target detection network; carrying out cross-modal consistency fusion and cue word design; and generating and mapping driver element actions and decisions. According to the invention, by fusing a three-dimensional target detection network and a pre-trained visual language model, introducing a thinking chain type reasoning and selective spatial information injection mechanism, and combining a trigger type reasoning process and meta-action sequence generation, high-level understanding and auxiliary decision making of a cross-country scene are realized; therefore, the defects of a traditional geometric programming algorithm in an unstructured environment are overcome.

The invention discloses an energy efficiency optimization method for an active RIS auxiliary cell-free mMIMO system, and the method comprises the steps: firstly, building a downlink transmission data and system consumption total power model of the active RIS auxiliary cell-free mMIMO system, and giving a downlink rate and energy efficiency expression; then, designing a communication node downlink transmission power allocation scheme by formulating a multi-objective function optimization problem, including maximizing a downlink rate and minimizing the total consumed power of the system; in order to solve the non-convex optimization problem, a weighted sum method and an arithmetic mean inequality are used for converting the non-convex optimization problem into a generalized geometric programming problem, and then an iteration mode is adopted for solving the non-convex optimization problem; and finally, taking the obtained optimal solution as a final power distribution scheme and calculating the energy efficiency of the system. According to the method, the total power consumed by the system is reduced while the downlink rate sum is improved, the energy efficiency of the system is improved, and the operation cost of the system is reduced.

This application discloses a method and apparatus for cooperative containment guidance of aircraft, relating to the field of aircraft guidance and control. The method includes acquiring the position, velocity, heading angle, interception time, navigation ratio of the pursuing aircraft, position, velocity, heading angle of the defending aircraft, target position, and target heading angle of the pursuing aircraft; determining the coordinates of the containment point using a geometric programming method; and controlling the target and the defending aircraft using a cooperative guidance method based on the coordinates of the containment point, the navigation ratio of the pursuing aircraft, the position, velocity, heading angle of the pursuing aircraft, the position, velocity, heading angle of the defending aircraft, the target position, and the target heading angle of the defending aircraft, thereby achieving cooperative containment of the pursuing aircraft. This application improves the effectiveness of the cooperative containment guidance strategy and the interception efficiency of the pursuing aircraft.

The application discloses an active RIS-assisted cell-free mMIMO system energy efficiency optimization method, first, the downlink transmission data and system total power consumption model of the active RIS-assisted cell-free mMIMO system is established, and the downlink rate and energy efficiency expression is given; then, by formulating a multi-objective function optimization problem, including maximizing the downlink rate and minimizing the total system power consumption, a communication node downlink transmission power allocation scheme is designed; in order to solve the non-convex optimization problem, the weighted sum method and the arithmetic average inequality are used to convert it into a generalized geometric programming problem, and then an iterative method is used for solving; finally, the obtained optimal solution is used as the final power allocation scheme and the system energy efficiency is calculated, the application reduces the total system power consumption while improving the downlink rate and, improves the system energy efficiency, and reduces the system operation cost.

This invention investigates the offline one-dimensional resource allocation problem of maximizing the utility of a convex increasing function system within a given time frame, under both energy causality (hard) and energy saturation (soft) constraints. Utilizing the Karush-Kuhn-Tucher condition, a modified tunneling strategy based on geometric programming is proposed, considering only causal hard constraints and saturation soft constraints. A computational method for allocating energy to various time slots is presented. This method is particularly advantageous when the geometric allocation line simultaneously encounters either the upper or lower edge of the energy constraint. This invention solves the energy allocation problem of maximizing the utility of an increasing convex function system under causal hard constraints and saturation soft constraints.