Processing of signals to provide a delay Doppler map

• US 9,465,115 B2
• Filed: 06/14/2013
• Issued: 10/11/2016
• Est. Priority Date: 06/15/2012
• Status: Expired due to Fees

• Current Assignee: Airbus Defence and Space Limited (Airbus SE)
• Original Assignee: Airbus Defence and Space Limited (Airbus SE)
• Inventors: Wishart, Alexander Walker
• Primary Examiner(s): Brainard, Timothy A
• Application Number:
  US13/918,618
• Publication Number:
  US 20130335265A1
• Time in Patent Office: 1,215 Days
• Field of Search: 342/25
• US Class Current: 1/1
• CPC Class Codes: G01S 13/003 Bistatic radar systems; Multistatic radar systems
• CPC Class Codes: G01S 13/955 mounted on satellite
• CPC Class Codes: G01S 19/14 specially adapted for specific applications
• CPC Class Codes: G01S 19/37 Hardware or software details of the signal processing chain
• CPC Class Codes: G01S 19/42 Determining position
• CPC Class Codes: Y02A 90/10 Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

An apparatus is disclosed for processing a sequence of samples of a received signal R reflected by a target surface and having a delay and a frequency shift relative to a reference signal D to obtain a delay Doppler map for the reflected signal. A first correlation module can obtain partial correlations z(n′, k) between samples corresponding to the reflected signal R and a samples corresponding to the reference signal D, across a set of delays. An inverse discrete fourier transform (DFT) of a sequence of samples can be derived from at least DFTs of a first reflected signal sequence and second reference signal sequence.

Claims

1. A method of processing a reflected signal R having a delay and a frequency shift relative to a reference signal D to obtain a delay Doppler map, the method comprising:

a signal receiver receiving a sequence of samples x_r(n) corresponding to the reflected signal R transmitted from a satellite and reflected to the signal receiver by a target area, and the signal receiver receiving a sequence of samples x_d(n) corresponding to said reference signal D;

a signal processor obtaining a plurality of partial correlations z(n′

, k) between the sequence of samples x_r(n) corresponding to the reflected signal and the sequence of samples x_d(n) corresponding to the reference signal received by the signal receiver, across a set of delays, to provide a set of partial correlation samples for each delay, each partial correlation sample of a set corresponding to a different partial correlation for that delay, wherein obtaining a number of partial correlations of said plurality of partial correlations, providing one partial correlation sample for each delay, comprises;

obtaining discrete fourier transforms (DFTs) of at least a first and an associated second sequence of samples, the first sequence including at least one subsequence of the reflected signal and the second sequence comprising at least one associated subsequence of the reference signal, and obtaining an inverse DFT of a sequence of samples derived from at least a product of said DFTs of the first and second sequences;

the signal processor obtaining a DFT for each set of partial correlation samples to determine a correlation between sequences of samples across a plurality of frequency shifts at each delay of the set of delays; and

the signal processor outputting the delay Doppler map representing the energy received from the target area, which reflects the reflected signal R, transmitted from the satellite, to the signal receiver, as a function of delay and Doppler shift, using the determined correlation between the sequences of samples.

2. A method according to claim 1, wherein each set of partial correlation samples includes a number N′

of partial correlation samples, and wherein obtaining the DFT of each set comprises;

computing an N′

-point fast fourier transform FFT.

3. A method according to claim 2, wherein the set of delays includes K delays and each of the first and second sequences includes 2K samples, and wherein obtaining the DFTs of the first and second sequences comprises:

computing 2K-point FFTs and obtaining the inverse DFT comprises computing a 2K-point inverse DFT.

4. A method according to claim 3, wherein obtaining a number of partial correlations providing one partial correlation sample for each delay comprises:

multiplying each sample of the DFT of the first sequence with a corresponding sample of the DFT of the second sequence to form a product of the DFTs, wherein obtaining the inverse DFT of a sequence of samples derived from at least a product of said DFTs comprises;

obtaining the inverse DFT directly on said product of the DFTs.

5. A method according to claim 3, wherein obtaining the number of partial correlations providing one partial correlation sample for each delay comprises:

obtaining DFTs of each of a plurality of first sequences of samples, comprising said first sequence of samples, to provide a plurality of first transformed sequences, each of the plurality of first sequences of samples comprising samples of at least one respective subsequence of the reflected signal; and

obtaining DFTs of each of a plurality of second sequences of samples, comprising said second sequence of samples, to obtain a plurality of second transformed sequences, each of the plurality of second sequences of samples comprising samples of at least one respective associated subsequence of the reference signal;

multiplying each sample of each of the first transformed sequences with a corresponding sample of an associated second transformed sequence to provide a plurality of transformed product sequences; and

summing the transformed product sequences to provide a summed product sequence, wherein obtaining the inverse DFT of a sequence of samples derived from at least a product of said DFTs of the first and second sequences comprises;

obtaining the inverse DFT of the summed product sequence.

6. A method according to claim 1, wherein the set of delays includes K delays and each of the first and second sequences includes 2K samples, and wherein obtaining the DFTs of the first and second sequences comprises:

computing 2K-point FFTs and obtaining the inverse DFT comprises computing a 2K-point inverse DFT.

7. A method according to claim 1, wherein obtaining the number of partial correlations providing one partial correlation sample for each delay comprises:

multiplying each sample of the DFT of the first sequence with a corresponding sample of the DFT of the second sequence to form a product of the DFTs, wherein obtaining the inverse DFT of a sequence of samples derived from at least a product of said DFTs comprises;

obtaining the inverse DFT directly on said product of the DFTs.

8. A method according to claim 1, wherein obtaining the number of partial correlations providing one partial correlation sample for each delay comprises:

obtaining DFTs of each of a plurality of first sequences of samples, comprising said first sequence of samples, to provide a plurality of first transformed sequences, each of the plurality of first sequences of samples comprising samples of at least one respective subsequence of the reflected signal; and

obtaining DFTs of each of a plurality of second sequences of samples, comprising said second sequence of samples, to obtain a plurality of second transformed sequences, each of the plurality of second sequences of samples comprising samples of at least one respective associated subsequence of the reference signal;

multiplying each sample of each of the first transformed sequences with a corresponding sample of an associated second transformed sequence to provide a plurality of transformed product sequences; and

summing the transformed product sequences to provide a summed product sequence, wherein obtaining the inverse DFT of a sequence of samples derived from at least a product of said DFTs of the first and second sequences comprises;

obtaining the inverse DFT of the summed product sequence.

9. A method according to claim 8, wherein the plurality of first sequences includes at least two first sequences, and the plurality of second sequences includes at least two second sequences.

10. A method according to claim 1, comprising:

forming said at least one subsequence of the reflected signal and said at least one subsequence of the reference signal form part of a plurality of subsequences of K samples of the reflected signal and the reference signal respectively, wherein each partial correlation for a specific delay corresponds to a contiguous segment of the reflected signal, comprising one or more of the plurality of subsequences, and an associated contiguous segment of the reference signal, comprising one or more associated subsequences of the plurality of subsequences of the reference signal; and

wherein a subsequence of the plurality of subsequences of the sequence of samples corresponding to the reflected signal x_r(n) comprises samples x_r(n+iK), and a subsequence of the plurality of subsequences of the sequences of samples corresponding to the reference signal x_d(n) comprises samples x_d(n+iK), where 0≦

n<

K and i=0, 1, 2 . . . .

11. A method according to claim 10, comprising:

forming each of the first sequences of samples x_rⁱ and each of the second sequences of samples x_dⁱ by equations;

12. A computer program comprising instructions, stored in a non-transitory medium, that when executed by a processor arrangement, cause the processor arrangement to carry out the method of claim 1.

13. Apparatus for processing a sequence of samples of a reflected signal R reflected by a target surface and having a delay and a frequency shift relative to a reference signal D to obtain a delay Doppler map for the reflected signal, the apparatus comprising:

a signal receiver for receiving a sequence of samples x_r(n) corresponding to a reflected signal R transmitted from a satellite and reflected to the signal receiver by a target area, and a sequence of samples x_d(n) corresponding to the reference signal D;

a first correlation module for obtaining a plurality of partial correlations z(n′

, k) between the sequence of samples x_r(n) corresponding to the reflected signal R transmitted from the satellite and reflected by the target area, and the sequence of samples x_d(n) corresponding to the reference signal D, across a set of delays, the first correlation module being configured to obtain a number of partial correlations z(n′

, k) of said plurality of partial correlations, providing one partial correlation sample for each delay, by obtaining a discrete fourier transform (DFT) of at least a first sequence of samples and a DFT of at least a second sequence of samples, the first sequence including at least one subsequence of samples of the reflected signal R and the second sequence including at least one associated subsequence of samples of the reference signal D, and to obtain an inverse DFT of a sequence of samples derived from at least said DFTs of the first and second sequences;

a memory for storing a plurality of sets of partial correlation samples, the samples of each set corresponding to the partial correlations for a different delay; and

a second correlation module for obtaining a DFT of the samples in each set to determine the correlation between the sequences of samples of the reflected and the reference signals across a plurality of frequency shifts at each delay of the set of delays, and

the second correlation module outputs the delay Doppler map representing the energy received from the target area, which reflects the reflected signal R, transmitted from the satellite, as a function of delay and Doppler shift, using the determined correlation between the sequences of samples.

14. Apparatus method according to claim 13, wherein the first correlation module is configured to obtain N′

partial correlations for each delay, and wherein the second correlation module is configured to use an N′

-point FFT algorithm to obtain the DFT of the samples in each set, and wherein the set of delays comprise K delays, each of the first and the second sequences comprises 2K samples, and the first correlation module is configured to use a 2K-point FFT algorithm to compute the DFTs of the first and the second sequences.

15. Apparatus according to claim 14, wherein the first correlation module comprises:

one or more FFT modules for successively computing 2K-point FFTs of each of a plurality of first sequences of samples, including said first sequence of samples, to provide a plurality of first transformed sequences, and each of a plurality of second sequences of samples, including said second sequence of samples, to provide a plurality of second transformed sequences, each of the plurality of first sequences of samples including the samples of at least one respective subsequence of the reflected signal, and each of the plurality of second sequences of samples including the samples of at least one respective associated subsequence of the reference signal;

a multiplier for multiplying each of the first transformed sequences with an associated second transformed sequence to provide a plurality of transformed product sequences;

a summer for summing the transformed product sequences to derive a sequence of samples from at least said DFTs of the first and second sequences; and

an inverse FFT module for computing a 2K-point inverse FFT of the derived sequence to obtain said number of partial correlations.

16. Apparatus according to claim 15, wherein the first correlation module is configured to form each of the first sequences of samples x_rⁱ and each of the second sequences of samples x_dⁱ according to equations:

17. Apparatus according to claim 16, comprising:

an analogue to digital converter for digitising the reflected signal to form a sequence of samples corresponding to the reflected signal.

18. A reflectometry satellite comprising:

a satellite housing; and

the apparatus for processing samples of claim 13.

19. Apparatus according to claim 13, wherein the first correlation module comprises:

one or more FFT modules for successively computing 2K-point FFTs of each of a plurality of first sequences of samples, including said first sequence of samples, to provide a plurality of first transformed sequences, and each of a plurality of second sequences of samples, including said second sequence of samples, to provide a plurality of second transformed sequences, each of the plurality of first sequences of samples including the samples of at least one respective subsequence of the reflected signal, and each of the plurality of second sequences of samples including the samples of at least one respective associated subsequence of the reference signal;

a multiplier for multiplying each of the first transformed sequences with an associated second transformed sequence to provide a plurality of transformed product sequences;

a summer for summing the transformed product sequences to derive a sequence of samples from at least said DFTs of the first and second sequences; and

an inverse FFT module for computing a 2K-point inverse FFT of the derived sequence to obtain said number of partial correlations.

20. Apparatus according to claim 13, comprising:

an analogue to digital converter for digitising the reflected signal to form a sequence of samples corresponding to the reflected signal.