Target motion parameter estimation method for random frequency hopping radar

A motion parameter and target technology, which is applied in radio wave reflection/re-radiation, climate sustainability, instruments, etc., can solve the problems of signal sparsity, poor anti-noise performance, low robustness, and large amount of calculation. Achieve the effects of large unambiguous range of speed measurement, short coherent accumulation time and wide application range

Active Publication Date: 2018-12-21
XIDIAN UNIV
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Problems solved by technology

[0005] By accumulating multiple groups of random frequency hopping signals and processing the same-frequency pulses in each group of signals to complete the target speed measurement method, but this will lead to an increase in the coherent accumulation time and affect the real-time performance of the system
[0006] Through the minimum entropy method, that is, the method of traversing the compensation and setting the entropy cost function for a group of one-dimensional range images of the target, it is possible to use a single group of random frequency hopping signals to complete the radial velocity estimation of the target, but this method is too computationally intensiv

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  • Target motion parameter estimation method for random frequency hopping radar
  • Target motion parameter estimation method for random frequency hopping radar
  • Target motion parameter estimation method for random frequency hopping radar

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Embodiment 1

[0036]The Doppler sensitivity of the random frequency hopping signal makes the radial velocity of the target must be measured as the motion compensation parameter before the random frequency hopping radar performs range dimension processing on the target echo, which makes the target motion parameter estimation in the random frequency hopping radar particularly important. important. Considering that the existing multi-group random frequency hopping signal motion parameter estimation requires too long accumulation time, and the single group random frequency hopping signal motion parameter estimation method has a large amount of calculation and poor anti-noise performance, the present invention provides a single group random frequency hopping signal motion parameter estimation method. The method of random frequency hopping to complete the target speed measurement has the advantages of short coherent accumulation time, small calculation amount and good anti-noise performance.

[0...

Embodiment 2

[0053] The target motion parameter estimation method of random frequency hopping radar is the same as embodiment 1, the slow time sampling vector preprocessing described in step 3, the slow time sampling vector S=[s obtained by step 2 0 ,s 1 ,s2 ,...,s N-1 Each element in ] is the single-point sampling value of each sub-pulse with different frequencies, and each element in S is sorted according to the emission time of each element corresponding to the sub-pulse. Here, the elements in the vector S are first sorted by sub-pulse The transmission frequency is reordered from small to large, and the 1×N-dimensional slow time sampling vector S' rearranged according to frequency is obtained, and S'=[s 0 ',s 1 ',s 2 ',...,s N-1 '], the N-point optimized frequency-hopping code vector L designed in step 1 contains the frequency information of the sub-pulse corresponding to each element in the slow-time sampling vector S, and L=[l 0 , l 1 , l 2 ,...,l N-1 ],have:

[0054] S'(l k...

Embodiment 3

[0058] The target motion parameter estimation method of random frequency hopping radar is the same as embodiment 1-2, and the structure difference frequency vector group described in step 4 includes the following steps:

[0059] (4a) Select the number of beat frequency vectors to be constructed and set the frequency difference corresponding to each beat frequency vector: consider setting the possible value of the frequency difference between N sub-pulses as mΔf, m=1,2,3,... .,N-1, take the former in mΔf composed of Dimensional difference frequency value vector Df, set to have:

[0060] df i = iΔf

[0061] in, Δf is the frequency step in the waveform parameters; then construct difference frequency vectors, let the ith difference frequency vector be E i , then its corresponding frequency difference is df i ,

[0062] (4b) The difference frequency vector is obtained by conjugate multiplication: each element of the slow time sampling signal S' rearranged according ...

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Abstract

The invention proposes a target motion parameter estimation method for a random frequency hopping radar, and solves the problem that the existing speed measurement scheme has a long accumulation time,a large calculation amount and a poor anti-noise performance. The method comprises the main steps of: designing a waveform parameter for transmitting a random frequency hopping signal and receiving atarget echo; preprocessing digital signals; preprocessing the slow time sampling vector; constructing a difference frequency vector group; constructing a Doppler domain generalized Fourier transformmatrix group; carrying out the generalized Doppler transform and non-coherent processing; carrying out motion compensation processing; and carrying out the coherent integration of distance dimensionsand de-redundance processing to obtain a one-dimensional range profile with the correct target in the plurality of range gates. According to the target motion parameter estimation method for the random frequency hopping radar, a set of dimension decreasing difference frequency vectors are constructed from the target echoes, generalized Doppler processing is performed on each difference frequency vector, and an estimated value of the target radial velocity can be read in the generalized Doppler spectrum after non-coherent integration. The method is short in accumulation time, small in calculation amount and good in anti-noise performance, and is used for target detection and pulse accumulation of the random frequency hopping radar.

Description

technical field [0001] The invention belongs to the technical field of radar signal processing, and relates to target motion parameter estimation, in particular to a target motion parameter estimation method for random frequency hopping radar, which is suitable for target detection and pulse accumulation when radar transmits random frequency hopping signals in an interference environment. Background technique [0002] Radar countermeasures are an important part of electronic countermeasures. Frequency agility technology is an effective measure to achieve anti-jamming in the frequency domain; It can perform agility in a larger range within the frequency band, and has the ability of anti-jamming and low interception. [0003] As a typical frequency-agile signal, random frequency hopping signal has the ability of anti-interference and high resolution in distance dimension, and it has attracted great attention once it was proposed. However, as a Doppler-sensitive signal, the ra...

Claims

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Application Information

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IPC IPC(8): G01S7/41G01S13/58
CPCG01S7/41G01S13/584Y02A90/10
Inventor 曹运合刘帅吴春林魏勐卢毅王从思
Owner XIDIAN UNIV
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