Coherent interference detection

1. A method for detecting coherent interference, the method comprising the steps of:

(a) receiving a signal at a first frequency,

(b) forming a set of cross-correlation results by at least cross-correlating the signal with a first known code for a plurality of code offsets,

(c) determining a first statistical signature of the cross-correlation results, and

(d) deciding, based on the first statistical signature, whether non-negligible coherent interference is present within a first search bin defined by the combination of the first frequency and the first known code,

wherein the step (d) comprises comparing the statistical signature with a first expected statistical signature, and

(e) assessing whether the first expected and measured statistical signatures deviate by less than a first predetermined amount and if they do then determining that there is negligible coherent interference in the first search bin.

2. A method as claimed in claim 1 , wherein the said step (b) of forming the set of cross-correlation results comprises at least: (b.i) cross-correlating the signal with a first known code for a plurality of code offsets, and (b.ii) either: (b.ii.1) determining the absolute values of the values output by the said step (b.i), or (b.ii.2) determining the squares of the values output by the said step (b.i).

3. A method as claimed in claim 2 , wherein the said step (b) of forming the set of cross-correlation results further comprises at least: (b.iii) non-coherently summing all the values determined in the said step (b.ii) each time a new value is determined by the said step (b.ii).

4. A method as claimed in claim 1 , wherein the first known code is a pseudorandom code.

5. A method as claimed in claim 1 wherein the first statistical signature indicates the extent to which peak values among the cross-correlation results are clustered about plural code offsets.

6. A method as claimed in claim 2 , comprising the step of: comparing the values determined in the said step (b.ii.1) to a threshold value, and determining any code offsets having cross-correlation results higher than that threshold value to be candidates for future receiving operations.

7. A method as claimed in claim 6 , comprising the step of calculating the threshold value as the mean of the values determined in the said step (b.ii.1) plus a multiple of their standard deviation.

8. A method as claimed in claim 6 , comprising re-calculating the threshold value from time to time.

9. A method as claimed in claim 6 , wherein the method comprises assessing whether the number of candidates exceeds a predetermined value, and if it does determining there to be non-negligible coherent interference present in the first search bin.

10. A method for detecting coherent interference, the method comprising the steps of:

(a) receiving a signal at a first frequency,

(b) forming a set of cross-correlation results by at least cross-correlating the signal with a first known code for a plurality of code offsets,

(c) determining a first statistical signature of the cross-correlation results, and

(d) deciding, based on the first statistical signature, whether non-negligible coherent interference is present within a first search bin defined by the combination of the first frequency and the first known code,

wherein the said step (d) comprises comparing the first statistical signature with a first expected statistical signature, and

(e) assessing whether the first expected and measured statistical signatures deviate by more than a second predetermined amount and if they do then determining that there is non-negligible coherent interference present in the first search bin.

11. A method as claimed in claim 10 , wherein the first expected statistical signature is the statistical signature expected in the absence of non-negligible coherent interference.

12. A method as claimed in claim 10 , wherein the first expected statistical signature is that of additive white Gaussian noise.

13. A method as claimed in claim 10 , wherein the coherent interference is continuous wave interference and the first expected statistical signature is that of a noise channel.

14. A method as claimed in claim 1 , wherein the said step (d) comprises treating the received signal as having a constant variance.

15. A method as claimed in claim 10 , wherein the method comprises assessing whether the first expected and measured statistical signatures deviate by an amount between a first predetermined amount and said second predetermined amount, and if they do then in the said step (d) repeating the previous steps with an increased threshold value.

16. A method as claimed in claim 15 , comprising re-calculating the first and/or second amounts from time to time.

17. A method as claimed in claim 1 , wherein the first statistical signature is the standard deviation of the cross-correlation results.

18. A method as claimed in claim 1 , wherein the method is performed for a plurality of search bins.

19. A method as claimed in claim 1 , wherein the known code is a code transmitted by a particular remote transmitter.

20. A method as claimed in claim 1 , wherein the method is performed as part of a signal acquisition process.

21. A method as claimed in claim 1 , wherein the received signal originates from a satellite.

22. A method as claimed in claim 13 , further comprising the steps of: if the said step (d) resulted in a decision that coherent interference was present within the first search bin then (e.i) repeating the previous steps for a second search bin, different to the first search bin; or if the said step (d) resulted in a decision that coherent interference was not present within the first search bin then (e.ii) determining a second statistical signature of the cross-correlation results, and deciding, based on the second statistical signature, whether non-negligible coherent interference is present within the first search bin.

23. A system for detecting coherent interference, the system comprising:

a signal receiver for receiving a signal at a first frequency,

a cross-correlator for forming a set of cross-correlation results by at least cross-correlating the received signal with a first known code for a plurality of code offsets,

a processor for determining a first statistical signature of the cross-correlation results, and

a decision unit for deciding whether non-negligible coherent interference is present within a first search bin defined by the combination of the particular frequency and the first known code based on the statistical signature, by comparing the first statistical signature with a first expected statistical signature, and assessing whether the first expected and measured statistical signatures deviate by more than a second predetermined amount and if they do then determining that there is non-negligible coherent interference present in the first search bin.