With the constant changes in the shape of modern warfare,and the deterioration of the battlefield environment,the maneuverability of missiles continues to increase.The missile-borne SAR generally needs to be imaged under the High-Squint,what results in serious distance and azimuth coupling.More terribly,there is non-precise Inertial Navigation System or Inertial Measurement Unit under missile-borne platform.Signal processing board resources is limited because of power consumption,volume,heat dissipation.The above factors will lead to huge challenges in real-time imaging under the missile-borne platform.Therefore,this paper studies the optimization techniques of multi-core DSPs to achieve real-time imaging of missile-borne SAR.In this circumstance,this paper studies the optimization method of TMS320C6678 multi-core DSPs and uses this optimization method to realize the subaperture imaging algorithm for High-Squint SAR,a set of missile-borne SAR digital simulation test system is constructed based on this.The correctness of the multi-core DSPs achieving the missile-borne SAR imaging algorithm is verified,and the time-consuming of multi-core DSPs processing algorithms for the missile-borne SAR before and after optimization has been compared.This paper Firstly,introduces the basic principle of the subaperture imaging algorithm of the High-Squint SAR.And presents principle and signal processing flow of the Map-Drift algorithm and Phase Gradient Autofocus algorithm.Then multi-core DSPs are using to realize the missile-borne SAR imaging algorithm.In this way,a missile-borne SAR imaging digital simulation test system is built.Multi-core DSP's parallel processing mode is selected according to the characteristics of missile-borne SAR imaging algorithm,and then EDMA,matrix transpose,cache coherency is detailedly introduced.The inter-core communication and external high-speed interface communication involved in the missile-borne SAR digital simulation test system has been elaborated.Finally,the characteristics of real-time requirements for the missile-loaded platform,multi-core DSP's optimization methods applies to realize missile-borne SAR imaging.The accuracy of multi-core DSPs for missile-borne SAR imaging is verified and the time-consuming that multi-core DSPs process the missile-borne SAR imaging algorithm before and after optimization has been compared. |