Harmonic radar based on FPGA and deep learning

• Main Authors: WANG JUN, ZHU LIKANG, WEI SHAOMING, YANG SONG
• Format: Patent
• Language: Chinese; English
• Published: 10.06.2022
• Subjects: ANALOGOUS ARRANGEMENTS USING OTHER WAVES; CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; HANDLING RECORD CARRIERS; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES; MEASURING; PHYSICS; PRESENTATION OF DATA; RADIO DIRECTION-FINDING; RADIO NAVIGATION; RECOGNITION OF DATA; RECORD CARRIERS; TESTING

The invention discloses a harmonic radar based on an FPGA and deep learning, and belongs to the field of radar signal processing. The method specifically comprises the following steps: a signal processing module generates a baseband linear frequency modulation (LFM) signal, converts the baseband LFM signal into an analog signal, mixes the analog signal with a local carrier frequency signal to obtain a radio frequency emission signal, filters out a high-frequency component and an interference signal, emits the radio frequency emission signal, irradiates a target to generate a second/third harmonic signal, and transmits the second/third harmonic signal to a second/third harmonic receiver; after low-noise amplification and filtering, echo baseband signals are demodulated with respective local oscillator signals to obtain echo baseband signals, and the echo baseband signals are subjected to quantization conversion by an intermediate frequency amplifier and an ADC and then are sent to a signal processing module fo