Method of real-time simulation on SAR (synthetic aperture radar) echo

Abstract

The invention provides a method of real-time simulation on SAR (synthetic aperture radar) echo. The method includes the steps of acquiring coordinates of radar and coordinates of obstacle scattering points during a pulse repetition period; calculating the distances between the radar and the scattering points according to the radar coordinates and the scattering point coordinates; calculating retardation values, phase values and amplitude values according to the distances; acquiring impulse response of each scattering point according to the retardation values, the phase values and the amplitude valves calculated according to the distances; and acquiring a response function according to the impulse response of each scattering point and convolving the response function to obtain an echo signal. Echo signals of a body target or area target are provided for the SAR in a closed-loop simulation system by high-performance computing power of an FPGA (field programmable gate array) hardware platform according to the pulse repetition period and echo retardation of the radar in actual operation. In addition, hard timeliness and low latency are achieved through a high-parallelism computing architecture, each computing unit uses a programmable serial mode internally, and accordingly flexibility is improved.

Description

Technical field [0001] The invention relates to the field of radar technology, in particular to a real-time simulation method of SAR radar echo. Background technique [0002] Currently, large-scale FPGA arrays are commonly used as hardware platforms to obtain echo signals. The first method is to use multi-stage flow beats to obtain echo signals after delaying several pulse repetition periods. The second method is to use fixed-point, phase calculation accuracy, and large-point convolution to obtain the echo signal according to the data format. However, the calculation accuracy obtained by this method is poor, and the square root value is obtained by Taylor expansion, so it takes The hardware resources are extremely large. [0003] In addition, in order to meet the strong real-time requirements, that is, the echo of the current pulse repetition period radar signal is generated within the current pulse repetition period, only a high parallelism calculation architecture with small de...

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Problems solved by technology

The second method is to obtain the echo signal according to the data format by using fixed-point, phase calculation precision and large-point convolution, but the calculation precision obtained by this method is poor, and the square root value is obtained by Taylor expansion, so it takes up The hardware resources are extremely large

[0003] In addition, in order to meet the strong real-time requirements, that is, the echo of the radar transmission signal in the current pulse repetition period is generated within the current pulse repetition period, only a computing architecture with high parallelism and low delay can be used instead of multi-beat pipeline to reduce Consumption of hardware resources, at the same time, in order to meet the requirements for echo phase calculation accuracy and the data dynamic range and calculation accuracy requirements in large-point convolution, the data and calculation format need to use double-precision floating-point operations to reduce hardware resource consumption , but increases the complexity of system implementation

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